Source: https://patents.google.com/patent/US8429040
Timestamp: 2018-03-19 05:10:08
Document Index: 102273623

Matched Legal Cases: ['art 1', 'art 1', 'art 1', 'art 1', 'art 1', 'art 1', 'art 2', 'art 2']

US8429040B2 - Facilitating compensation arrangements for data brokering - Google Patents
Facilitating compensation arrangements for data brokering
US8429040B2
US8429040B2 US12217138 US21713808A US8429040B2 US 8429040 B2 US8429040 B2 US 8429040B2 US 12217138 US12217138 US 12217138 US 21713808 A US21713808 A US 21713808A US 8429040 B2 US8429040 B2 US 8429040B2
US12217138
US20090327149A1 (en )
Systems and methods for data brokering, and more specifically, data brokering regarding a data provider's search-related activities, are described. In particular implementations, various aspects of facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities are described.
The present disclosure relates generally to data brokering, and more specifically, to facilitating compensation arrangements for data brokering regarding a data provider's search-related activities.
The present disclosure teaches systems and methods for data brokering, and more specifically, data brokering regarding a data provider's search-related activities. In particular implementations, the present disclosure teaches aspects of facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities.
FIG. 2 is a flowchart of a method of brokering data in accordance with an implementation of the present disclosure.
FIGS. 3 through 10 are flowcharts of methods of facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities (FIG. 1) in accordance with various implementations of the present disclosure.
FIG. 11 is a schematic view of an exemplary computing device in accordance with another implementation of the present disclosure.
Techniques for brokering data regarding a data provider's search-related activities are disclosed. It should be appreciated that many specific details of certain implementations are set forth in the following description, and in FIGS. 1 through 11, to provide a thorough understanding of such implementations. One skilled in the art will understand from the teachings of the present disclosure, however, that the present disclosure may have other possible implementations, and that such other implementations may be practiced with/without some of the details set forth in the following description.
FIG. 1 is a schematic view of a representative environment 100 in accordance with an implementation of the present disclosure. In this implementation, the environment 100 includes one or more data providers 110, and one or more data consumers 170 who use the data generated by the data providers 110. In general, the data (or data products) generated by the data providers 110 may include a wide variety of information, including keywords, phrases, search terms, Universal Resource Locator (URL) data, browsing history, eyeballing history, time and quantity information, selection history, affinity-related information, health-related information, consumer-related information, personal-characteristic information, and any other suitable information.
As shown in FIG. 1, the data providers 110 may include a variety of different providers and provider types. For example, in various implementations, the data providers 110 may include an individual 111, a group of individuals 112, an entity 113, a group of entities 114, a device 115, or a group of devices 116. In general, virtually any individual, entity, device, or groups thereof, may be a member of the data providers 110. For example, in various implementations, the individual 111 (or group of individuals 112) may include a computer user, consumer, person from a particular demographic group (e.g. age, gender, race, profession, religion, orientation, preference, geographic area, etc.), a particular bellwether or trendsetting individual (e.g. individual with popular ideas or tastes, athlete, performing artist, etc.), or any other suitable person. Similarly, in various implementations, the entity 113 (or group of entities 114) may include a professional organization (e.g. Institute of Electrical and Electronics Engineers (IEEE), American Automobile Association (AAA), American Association of Retired Persons (AARP), etc.), company, university, union (e.g. United Auto Workers (UAW), International Affiliation of Writers Guilds, etc.), consumer group (e.g. members of Costco®, Sam's Club®, Starwood®, etc.), club, association, (e.g. Boy Scouts of America, etc.), or any other suitable type of entity. Also, in various implementations, the device 115 (or group of devices 116) may include, for example, a computer, networking device, processor, personal communication device, or any other suitable type of device. Of course, other individuals, entities, and devices that may serve as data providers 110 may be conceived. More specifically, in particular implementations, any individual, entity, or device whose data may serve as an indicator of future consumption may suitably qualify such individual, entity, or device as a data provider 110.
The data consumers 170 may also include a variety of different consumers and consumer types. For example, in some specific implementations, the data consumers 170 may include advertisers or marketers 172, search providers 174, scientific researchers 176, consumers of data analyses 178, or any other suitable consumers. Data consumers 170 may also include any and all of the individuals, entities, and devices (or groups thereof) referenced above as data providers 110, or any other suitable types of data consumers. It will be appreciated that the data providers 110 and the data consumers 170 are not necessarily mutually exclusive groups, and that an entity may in some instances be a data provider, and in other instances a data consumer, or may even be both at the same time.
With continued reference to FIG. 1, a data broker 130 operatively communicates with the one or more data providers 110 and the one or more data consumers 170. Communications (or interactions) 120 between the data broker 130 and the one or more data providers 110 may include, for example, negotiation activities (e.g. offers, rejections, counteroffers, terms, conditions, provisions, etc.) which may lead to the establishment of one or more data provision agreements between the data providers 110 and the data broker 130. The communications 120 may also include communications relating to performance of established data provision agreements, including, for example, data transmissions, data receptions, access records, compensation exchanges, accounting exchanges, or any other suitable communications (or interactions) relating to performance.
Similarly, communications (or interactions) 150 between the data broker 130 and the one or more data consumers 170 may include, for example, negotiation activities (e.g. offers, rejections, counteroffers, terms, conditions, provisions, etc.) which may lead to the establishment of one or more data use agreements between the data providers 110 and the data broker 130. Again, such communications 150 may also include communications relating to performance of established data use agreements, including, for example, data transmissions, data receptions, access records, compensation exchanges, accounting exchanges, or any other suitable communications (or interactions) relating to performance.
As further shown in FIG. 1, in some implementations, the data broker 130 may include one or more components that are operable to perform various functions and operations associated with the data broker 130. For example, the data broker 130 may include a data storage component 132, an analysis component 133, an arrangements component 134, a management and enforcement component 136, a compensation component 138, and an auctioning component 139. The various components 132-139 of the data broker 130 may communicate and exchange information as needed to perform the functions and operations described herein. Each of the components 132-139 may be implemented using software, hardware, firmware, or any suitable combinations thereof. In alternate implementations, one or more of the components 132-139 may be combined with other components, or may simply be eliminated.
The data storage component 132 may be operable to receive and store data provided by the data providers 110. The data storage component 132 may organize the data by type, profile, data provider, value, or using any other suitable organizational structure. In some implementations, the data storage component 132 may also store information relating to the communications 120, 150 between the data broker 130 and the data providers 110 and the data consumers 170. For example, the data storage component may store information relating to negotiation activities (e.g. offers, rejections, counteroffers, terms, conditions, provisions, etc.), established data provision agreements, established data use agreements, and information to performance of such established agreements (e.g. data transmissions, data receptions, access records, compensation exchanges, accounting exchanges, etc.).
The analysis component 133 may be operable to perform a variety of functions and operations. For example, the analysis component 133 may be operable to run an analysis or mathematical model for a data consumer to test a theory, to determine a potential value of the data, to develop a new analysis model, to filter or glean relevant data from a quantity of raw data, or to perform any other suitable analysis. The analysis component 133 may also allow the data consumer 170 (or the data broker 130) to perform any desired mathematical manipulation of the data.
Similarly, the arrangements component 134 may be operable to perform a variety of functions and operations. For example, in some implementations, the arrangements component 134 may create proposals, propose terms, receive offers to provide data, receive offers to consume data, identify potential data providers, identify potential data consumers, and perform other functions and operations associated with making arrangements with the data providers 110 and the data consumers 170. As described more fully below, the arrangements component 134 may also be operable to perform negotiations of one or more of data provision agreements and data use agreements.
With continued reference to FIG. 1, the management and enforcement component 136 may the operable to monitor a performance of one or more of the data providers 110, the data broker 130, and the data consumers 170 in accordance with the arrangements established by the arrangements component 134. More specifically, the management and enforcement component 136 may perform one or more of monitoring functions, recordkeeping functions (e.g. access periods, access volumes, sales volume, network traffic, URL hits, etc.), access control functions (e.g. data rights management, license terms, etc.), notification functions, or any other suitable functions in accordance with the terms and conditions of the agreements establish between the parties.
The compensation component 138 may be operable to determine the various amounts of compensation due from the data consumers 170, and owing to the data providers 110. The compensation component 138 may, for example, receive one or more terms of compensation established by the arrangements component 134, and may also receive performance information gathered by the management and enforcement component 136. In some implementations, the compensation component 138 is operable to manage and implement a variety of compensation types, including upfront compensation, future compensation, contingent or conditional compensation, royalty-based compensation, auctioning-based compensation, non-monetary compensation, or any other suitable types of compensation, as described more fully below.
The auctioning component 139 may be operable to perform functions and operations associated with auctioning of data. For example, in some implementations, the auctioning component 139 may function in a manner substantially similar to the arrangements component 134, but may be operable to do so in an auctioning format. Thus, the auctioning component 139 may be operable to offer data products to a plurality of potential data consumers, to receive bids for use of the data, to evaluate the bids, to negotiate the terms and conditions, and to perform any other suitable auction-related functions.
Following are a series of flowcharts depicting embodiments of processes. For ease of understanding, the flowcharts are organized such that the initial flowcharts present embodiments via an overall “big picture” viewpoint, and thereafter the following flowcharts present alternate embodiments and/or expansions of the “big picture” flowcharts as either sub-steps or additional steps building on one or more earlier-presented flowcharts. Those having skill in the art will appreciate that the style of presentation utilized herein (e.g., beginning with a presentation of a flowchart(s) presenting an overall view and thereafter providing additions to and/or further details in subsequent flowcharts) generally allows for a rapid and efficient understanding of the various process instances.
FIG. 2 is a flowchart of a method of brokering data 200 in accordance with another implementation of the present disclosure. In this implementation, the method 200 includes facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities at 210. At 220, a data product is provided to the data consumer in accordance with the compensation arrangement. A performance of the data consumer is monitored at 230, and compensation is received from the data consumer in accordance with the compensation arrangement at 240. At 250, the data provider is compensated in accordance with the compensation arrangement.
It will be appreciated that the facilitating of a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities, performed at 210 of the method 200 of FIG. 1, may be implemented in a variety of ways. More specifically, FIGS. 3 through 10 show flowcharts of various implementations of facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities in accordance with the present disclosure. Accordingly, various implementations will now be described with reference to FIGS. 3 through 10.
For example, in the implementation 300 shown in FIG. 3, facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities (at 210 of FIG. 1) may include negotiating the compensation arrangement between the data provider and the data consumer at 302. In some implementations, negotiating the compensation arrangement between the data provider and the data consumer (at 302) may include transmitting one or more offers from a data broker to the data provider for a first compensation in exchange for a data product at 304, and transmitting one or more offers from the data broker to the data consumer for a second compensation in exchange for the data product at 306. More specifically, in some implementations, transmitting one or more offers from the data broker to the data consumer for a second compensation in exchange for the data product at 306 may include transmitting one or more offers from the data broker to the data consumer for the second compensation that is greater than the first compensation at 308.
As further shown in FIG. 3, in some implementations, negotiating the compensation arrangement between the data provider and the data consumer (at 302) may include receiving at least one acceptance at the data broker from at least one of the data provider or the data consumer at 310. Similarly, in some implementations, negotiating the compensation arrangement between the data provider and the data consumer (at 302) may include receiving at least one counter-offer at the data broker from at least one of the data provider or the data consumer at 312.
As shown in FIG. 4, in an implementation 315, negotiating the compensation arrangement between the data provider and the data consumer (at 302) may include performing one or more negotiation activities at 314. Performing one or more negotiation activities (at 314) may include at least one of: transmitting a first offer from a data broker to the data provider for a first compensation in exchange for the data product at 316; receiving at least one of an acceptance or a counter-offer at the data broker from the data provider at 318; transmitting a second offer from the data broker to the data consumer for a second compensation in exchange for the data product at 320; or receiving at least one of an acceptance or a counter-offer at the data broker from the data consumer at 322. In some implementations, performing one or more negotiation activities (at 314) may include automatically iteratively performing one or more negotiation activities at 324. Similarly, in still further implementations, negotiating the compensation arrangement between the data provider and the data consumer (at 302) may include automatically negotiating the compensation arrangement between the data provider and the data consumer at 326.
In some implementations, terms and conditions associated with compensation aspects may be facilitated. For example, as shown in FIG. 5, in an implementation 330, facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities (at 210 of FIG. 1) may include arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider at 332.
In some implementations, arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider (at 332) may include arranging for compensation to be received from a data consumer in exchange for data gathering related to at least one networking device (e.g. a computer, server, switch, firewall, security appliance, cellular phone, a personal data assistant (PDA), television, etc.) associated with the data provider at 334. In other implementations, arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider (at 332) may include arranging for compensation to be received from a data consumer in exchange for data gathering related to at least one computing device (e.g. a desktop computer, laptop computer, notebook computer, mainframe computer, server, etc.) associated with the data provider at 336. In further implementations, arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider (at 332) may include arranging for compensation to be received from a data consumer in exchange for data gathering related to at least one personal communications device 338 (e.g. a cellular phone, a personal data assistant (PDA), a navigational device, a laptop, etc.) associated with the data provider at 336.
As further shown in FIG. 5, in further implementations, arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider (at 332) may include arranging for a first level of compensation to be received from a data consumer in exchange for data gathering related to a first type of information associated with the data provider at 342, and arranging for a second level of compensation to be received from the data consumer in exchange for data gathering related to a second type of information associated with the data provider, the second level of compensation being different than the first level of compensation at 344, or both at 340.
In some implementations, a plurality of compensation levels may be arranged in exchange for data gathering related to different types of information. For example, as shown in FIG. 6, in an implementation 350, facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities (at 210 of FIG. 1) may include arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider at 332, and arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider (at 332) may include arranging for a plurality of compensation levels to be received from a data consumer in exchange for data gathering related to different types of information associated with the data provider at 352.
In some implementations, arranging for a plurality of compensation levels to be received from a data consumer in exchange for data gathering related to different types of information associated with the data provider (at 352) may include arranging for a plurality of compensation levels to be received from a data consumer in exchange for data gathering related to at least one of an affinity-related information, a health-related information, a consumer-related information, or a personal-characteristic information at 354.
More specifically, in some implementations, arranging for a plurality of compensation levels to be received from a data consumer in exchange for data gathering related to at least one of an affinity-related information, a health-related information, a consumer-related information, or a personal-characteristic information (at 354) may include one or more of: arranging for a relatively higher level of compensation to be received from a data consumer in exchange for data gathering related to an affinity-related information associated with the data provider in comparison with data gathering related to another information type at 356; arranging for a relatively higher level of compensation to be received from a data consumer in exchange for data gathering related to a health-related information associated with the data provider in comparison with data gathering related to another information type at 358; arranging for a relatively higher level of compensation to be received from a data consumer in exchange for data gathering related to a consumer-related information associated with the data provider in comparison with data gathering related to another information type at 360; and arranging for a relatively higher level of compensation to be received from a data consumer in exchange for data gathering related to a personal-characteristic-related information associated with the data provider in comparison with data gathering related to another information type at 362.
As shown in FIG. 7, in an implementation 364, facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities (at 210 of FIG. 1) may include arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider at 332, and arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider (at 332) may include arranging for varying levels of compensation to be received from a data consumer in exchange for varying amounts of data gathering associated with the data provider at 366. Similarly, in other implementations, arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider (at 332) may include arranging for different levels of compensation to be received from a data consumer in exchange for different fields of use associated with the data gathering at 368.
In further implementations, arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider (at 332) may include arranging for different levels of compensation to be received from a data consumer based on a time value of information provided by the data gathering at 370. In some implementations, arranging for different levels of compensation to be received from a data consumer based on a time value of information provided by the data gathering (at 370) may include arranging for a first level of compensation to be received from a data consumer at least one of associated with or during a first time period of data gathering at 374, and arranging for a second level of compensation to be received from the data consumer at least one of associated with or during a second time period of data gathering at 376, or both at 372.
As further shown in FIG. 7, in some implementations, arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider (at 332) may include arranging for compensation to be received from a data consumer based on an incremental value of information provided by the data gathering to the data consumer at 378. For example, the compensation to be received from a data consumer may be based on the data consumer's increase in revenue, sales volume, traffic, or other indicator of incremental value (actual or presumed). Similarly, in some implementations, arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider (at 332) may include arranging for compensation to be received from a data consumer based on an indicator of incremental benefit derived by the data consumer presumed to relate to a use of a data product by the data consumer at 380. Again, for example, the compensation to be received from a data consumer may be based on the data consumer's increase in revenue, sales volume, traffic, or other indicator of incremental benefit derived by the data consumer presumed to relate to a use of a data product.
In further implementations, compensation to be received from a data consumer may be arranged based on information presumed to have been “eyeballed” (including information actually eyeballed) by the data provider. For example, as shown in FIG. 8, in another implementation 382, facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities (at 210 of FIG. 1) may include arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider at 332, and arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider (at 332) may include arranging for compensation to be received from a data consumer in exchange for data gathering related to information presumed to have been eyeballed by the data provider at 384.
More specifically, in some implementations, arranging for compensation to be received from a data consumer in exchange for data gathering related to information presumed to have been eyeballed by the data provider (at 384) may include arranging for compensation to be received from a data consumer in exchange for data gathering related to a particular type of information presumed to have been eyeballed by the data provider at 386. In further implementations, arranging for compensation to be received from a data consumer in exchange for data gathering related to information presumed to have been eyeballed by the data provider (at 384) may include arranging for compensation to be received from a data consumer in exchange for data gathering related to an amount of time presumed to have been spent eyeballing the information by the data provider at 388. In still other implementations, arranging for compensation to be received from a data consumer in exchange for data gathering related to information presumed to have been eyeballed by the data provider (at 384) may include arranging for compensation to be received from a data consumer in exchange for data gathering related to a quantity of data presumed to have been eyeballed by the data provider at 390, and arranging for compensation to be received from a data consumer in exchange for data gathering presumably related to repeated eyeballing by the data provider at 392.
As shown in FIG. 9, in yet another implementation 400, facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities (at 210 of FIG. 1) may include establishing a provision agreement with the data provider at 404, and establishing a use agreement with the data consumer at 406, or both at 402.
More specifically, in some implementations, establishing a provision agreement with the data provider (at 404) may include establishing a provision agreement having one or more of a field-of-use provision, a nature-of-use provision, an exclusivity provision, a geographic provision, a compensation provision, a quality assurance provision, a confidentiality provision, a data consumer demographic provision, or a data consumer non-demographic provision at 408. Similarly, in some implementations, establishing a use agreement with the data consumer (at 406) may include establishing a use agreement having one or more of a field-of-use provision, a nature-of-use provision, an exclusivity provision, a geographic provision, a compensation provision, a quality assurance provision, a confidentiality provision, a data provider demographic provision, or a data provider non-demographic provision at 410.
Similarly, as shown in FIG. 10, in another implementation 420, facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities (at 210 of FIG. 1) may include establishing a provision agreement between the data provider and a data broker at 414, and establishing a use agreement between the data broker and the data consumer at 416, or both at 412. In further implementations, at least one of establishing a provision agreement between the data provider and a data broker (at 414) and establishing a use agreement between the data broker and the data consumer (at 416) may include establishing an agreement having one or more of a field-of-use provision, a nature-of-use provision, an exclusivity provision, a geographic provision, a compensation provision, a quality assurance provision, a confidentiality provision, a data consumer demographic provision, a data consumer non-demographic provision, a data provider demographic provision, or a data provider non-demographic provision at 418.
FIG. 11 shows an exemplary computing device 500 that can be used in accordance with the invention. The device 500 is typical of a computing device that can perform at least some of the functions and operations described above with respect to FIGS. 1 through 10. In this implementation, the computing device 500 includes one or more processors (or processing units) 502, a memory 504, and a bus 506 that couples various system components including the memory 504 to the one or more processors 502.
The bus 506 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. In this implementation, the memory 504 includes read only memory (ROM) 508 and random access memory (RAM) 510. A basic input/output system (BIOS) 512, containing the basic routines that help to transfer information between elements within the computing device 500, such as during start-up, is stored in ROM 508.
The exemplary computing device 500 further includes a hard disk drive 514 for reading from and writing to a hard disk (not shown), and is connected to the bus 506 via a hard disk driver interface 516 (e.g., a SCSI, ATA, or other type of interface). A magnetic disk drive 518 for reading from and writing to a removable magnetic disk 520, is connected to the system bus 506 via a magnetic disk drive interface 522. Similarly, an optical disk drive 524 for reading from or writing to a removable optical disk 526 such as a CD ROM, DVD, or other optical media, connected to the bus 506 via an optical drive interface 528. The drives and their associated computer-readable media provide nonvolatile storage of computer readable instructions, data structures, program modules and other data for the computing device 500. Although the exemplary computing device 500 described herein employs a hard disk, a removable magnetic disk 520 and a removable optical disk 526, it should be appreciated by those skilled in the art that other types of computer readable media which can store data that is accessible by a computer, such as magnetic cassettes, flash memory cards, digital video disks, random access memories (RAMs) read only memories (ROM), and the like, may also be used.
As further shown in FIG. 11, a number of program modules may be stored on the memory 504 (e.g. the ROM 508 or the RAM 510) including an operating system 530, one or more application programs 532, other program modules 534, and program data 536. Alternately, these program modules may be stored on other computer-readable media, including the hard disk, the magnetic disk 520, or the optical disk 526. For purposes of illustration, programs and other executable program components, such as the operating system 530, are illustrated in FIG. 9 as discrete blocks, although it is recognized that such programs and components reside at various times in different storage components of the computing device 500, and are executed by the processor(s) 502 of the computing device 500.
A user may enter commands and information into the computing device 500 through input devices such as a keyboard 538 and a pointing device 540. Other input devices (not shown) may include a microphone, joystick, game pad, satellite dish, scanner, or the like. These and other input devices are connected to the processing unit 502 through an interface 542 that is coupled to the system bus. A monitor 544 or other type of display device is also connected to the bus 506 via an interface, such as a video adapter 546. In addition to the monitor, personal computers typically include other peripheral output devices (not shown) such as speakers and printers.
The computing device 500 may operate in a networked environment using logical connections to one or more remote computers (or servers) 558, such as those operated by one or more of the data providers 110 and data consumers 170. Such remote computers (or servers) 558 may be a personal computer, a server, a router, a network PC, a peer device or other common network node, and may include many or all of the elements described above relative to computing device 500. The logical connections depicted in FIG. 9 include a local area network (LAN) 548 and a wide area network (WAN) 550. Such networking environments are commonplace in offices, enterprise-wide computer networks, intranets, and the Internet. In this embodiment, the computing device 500 also includes one or more broadcast tuners 556. The broadcast tuner 556 may receive broadcast signals directly (e.g., analog or digital cable transmissions fed directly into the tuner 556) or via a reception device (e.g., via an antenna, a satellite dish, etc.).
When used in a LAN networking environment, the computing device 500 may be connected to the local network 548 through a network interface (or adapter) 552. When used in a WAN networking environment, the computing device 500 typically includes a modem 554 or other means for establishing communications over the wide area network 550, such as the Internet. The modem 554, which may be internal or external, may be connected to the bus 506 via the serial port interface 542. In a networked environment (e.g. environment 100 of FIG. 1), program modules depicted relative to the computing device 500, or portions thereof, may be stored in a remote memory storage device.
As further shown in FIG. 11, a data broker component 580 may be stored in the memory 504 of the computing device 500. The data broker component 580 is operable to perform one or more implementations of data brokering in accordance with the present disclosure. More specifically, the data broker component 580 may be operable to perform one or more implementations of methods of brokering data described above with reference to FIGS. 1 through 10.
facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities, wherein the facilitating is at least partially performed by a data broker, wherein the data broker performs an analysis to determine a potential value of data, wherein the potential value includes a time value of the data, wherein the data includes the data requested by the data consumer from the one or more data-provider-related search activities, and wherein the facilitating is at least partially implemented using one or more processing devices.
2. The computer-implemented method of claim 1, wherein facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities comprises:
3. The computer-implemented method of claim 2, wherein negotiating the compensation arrangement between the data provider and the data consumer comprises:
4. The computer-implemented method of claim 3, wherein transmitting one or more offers from the data broker to the data consumer for a second compensation in exchange for the data product comprises:
5. The computer-implemented method of claim 2, wherein negotiating the compensation arrangement between the data provider and the data consumer comprises:
6. The computer-implemented method of claim 2, wherein negotiating the compensation arrangement between the data provider and the data consumer comprises:
7. The computer-implemented method of claim 2, wherein negotiating the compensation arrangement between the data provider and the data consumer comprises:
8. The computer-implemented method of claim 7, wherein performing one or more negotiation activities comprises:
9. The computer-implemented method of claim 2, wherein negotiating the compensation arrangement between the data provider and the data consumer further comprises:
10. The computer-implemented method of claim 1, wherein facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities comprises:
11. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
12. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
13. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
14. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
15. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
16. The computer-implemented method of claim 15, wherein arranging for a plurality of compensation levels to be received from a data consumer in exchange for data gathering related to different types of information associated with the data provider comprises:
arranging for a plurality of compensation levels to be received from a data consumer in exchange for data gathering related to at least one of an affinity-related information, a health-related information, a consumer-related information, or a personal-characteristic information.
17. The computer-implemented method of claim 16, wherein arranging for a plurality of compensation levels to be received from a data consumer in exchange for data gathering related to at least one of an affinity-related information, a health-related information, a consumer-related information, or a personal-characteristic information comprises:
arranging for a relatively higher level of compensation to be received from a data consumer in exchange for data gathering related to an affinity-related information associated with the data provider in comparison with data gathering related to another information type.
18. The computer-implemented method of claim 16, wherein arranging for a plurality of compensation levels to be received from a data consumer in exchange for data gathering related to at least one of an affinity-related information, a health-related information, a consumer-related information, or a personal-characteristic information comprises:
arranging for a relatively higher level of compensation to be received from a data consumer in exchange for data gathering related to a health-related information associated with the data provider in comparison with data gathering related to another information type.
19. The computer-implemented method of claim 16, wherein arranging for a plurality of compensation levels to be received from a data consumer in exchange for data gathering related to at least one of an affinity-related information, a health-related information, a consumer-related information, or a personal-characteristic information comprises:
arranging for a relatively higher level of compensation to be received from a data consumer in exchange for data gathering related to a consumer-related information associated with the data provider in comparison with data gathering related to another information type.
20. The computer-implemented method of claim 16, wherein arranging for a plurality of compensation levels to be received from a data consumer in exchange for data gathering related to at least one of an affinity-related information, a health-related information, a consumer-related information, or a personal-characteristic information comprises:
arranging for a relatively higher level of compensation to be received from a data consumer in exchange for data gathering related to a personal-characteristic-related information associated with the data provider in comparison with data gathering related to another information type.
21. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
22. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
23. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
24. The computer-implemented method of claim 23, wherein arranging for different levels of compensation to be received from a data consumer based on a time value of information provided by the data gathering comprises:
25. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
arranging for compensation to be received from a data consumer based on an incremental change in value of a data consumer's revenue based on the information provided by the data gathering to the data consumer.
26. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
arranging for compensation to be received from a data consumer based on an incremental change in a data consumer's sales volume based on the information provided by the data gathering to the data consumer.
27. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
28. The computer-implemented method of claim 27, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to information presumed to have been eyeballed by the data provider comprises:
arranging for compensation to be received from a data consumer in exchange for data gathering related to a particular type of information presumed to have been eyeballed by the data provider.
29. The computer-implemented method of claim 27, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to information presumed to have been eyeballed by the data provider comprises:
30. The computer-implemented method of claim 27, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to information presumed to have been eyeballed by the data provider comprises:
31. The computer-implemented method of claim 27, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to information presumed to have been eyeballed by the data provider comprises:
arranging for compensation to be received from a data consumer in exchange for data gathering presumably related to repeated eyeballing by the data provider.
32. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
arranging for compensation to be received from a data consumer in exchange for data gathering related to at least one networking device associated with the data provider, wherein the at least one networking device includes at least a cellular phone.
33. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
arranging for compensation to be received from a data consumer in exchange for data gathering related to at least one networking device associated with the data provider, wherein the at least one networking device includes at least a personal data assistant (PDA).
34. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
arranging for compensation to be received from a data consumer in exchange for data gathering related to at least one networking device associated with the data provider, wherein the at least one networking device includes at least a laptop computer.
35. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
arranging for compensation to be received from a data consumer in exchange for data gathering related to at least one networking device associated with the data provider, wherein the at least one networking device includes at least a navigational device.
36. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
arranging for compensation to be received from a data consumer in exchange for data gathering related to at least one networking device associated with the data provider, wherein the at least one networking device includes at least a notebook computer.
37. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
arranging for compensation to be received from a data consumer in exchange for data gathering related to at least one networking device associated with the data provider, wherein the at least one networking device includes at least a desktop computer.
38. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
arranging for compensation to be received from a data consumer in exchange for data gathering related to at least one networking device associated with the data provider, wherein the at least one networking device includes at least a server computer.
39. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
arranging for compensation to be received from a data consumer in exchange for data gathering related to at least one networking device associated with the data provider, wherein the at least one networking device includes at least a switch.
40. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
arranging for compensation to be received from a data consumer in exchange for data gathering related to at least one networking device associated with the data provider, wherein the at least one networking device includes at least a security appliance.
41. The computer-implemented method of claim 10, wherein arranging for compensation to be received from a data consumer in exchange for data gathering related to the data provider comprises:
arranging for compensation to be received from a data consumer in exchange for data gathering related to at least one networking device associated with the data provider, wherein the at least one networking device includes at least a firewall.
42. The computer-implemented method of claim 1, wherein facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities comprises:
establishing a provision agreement with the data provider; and
establishing a use agreement with the data consumer.
43. The computer-implemented method of claim 42, wherein establishing a provision agreement with the data provider comprises:
establishing a provision agreement having one or more of a field-of-use provision, a nature-of-use provision, an exclusivity provision, a geographic provision, a compensation provision, a quality assurance provision, a confidentiality provision, a data consumer demographic provision, or a data consumer non-demographic provision.
44. The computer-implemented method of claim 42, wherein establishing a use agreement with the data consumer comprises:
establishing a use agreement having one or more of a field-of-use provision, a nature-of-use provision, an exclusivity provision, a geographic provision, a compensation provision, a quality assurance provision, a confidentiality provision, a data provider demographic provision, or a data provider non-demographic provision.
45. The computer-implemented method of claim 1, wherein facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities comprises:
establishing a provision agreement between the data provider and a data broker; and
establishing a use agreement between the data broker and the data consumer.
46. The computer-implemented method of claim 35, wherein at least one of establishing a provision agreement between the data provider and a data broker and establishing a use agreement between the data broker and the data consumer comprises:
establishing an agreement having one or more of a field-of-use provision, a nature-of-use provision, an exclusivity provision, a geographic provision, a compensation provision, a quality assurance provision, a confidentiality provision, a data consumer demographic provision, a data consumer non-demographic provision, a data provider demographic provision, or a data provider non-demographic provision.
47. The computer-implemented method of claim 1, further comprising:
48. The computer-implemented method of claim 1, further comprising:
49. The computer-implemented method of claim 1, further comprising:
receiving compensation from the data consumer in accordance with the compensation arrangement; and
50. The computer-implemented method of claim 1, wherein facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities, wherein the facilitating is at least partially performed by a data broker comprises:
facilitating the compensation arrangement between the data provider and the data consumer regarding the one or more data-provider-related search activities, wherein the facilitating is at least partially performed by the data broker, wherein the data broker performs an analysis to determine a potential value of the data, wherein the potential value of the data is determined by performing a mathematical manipulation of the data.
circuitry for facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities, wherein the facilitating is at least partially performed by a data broker, wherein the data broker performs an analysis to determine a potential value of data, wherein the potential value includes a time value of the data, wherein the data includes the data requested by the data consumer from the one or more data-provider-related search activities, and wherein the circuitry for facilitating is at least partially implemented using hardware.
52. A non-transitory signal-bearing medium bearing one or more instructions that, when executed by an executing component, perform a method comprising:
facilitating a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities, wherein the facilitating is at least partially performed by a data broker, wherein the data broker performs an analysis to determine a potential value of data, wherein the potential value includes a time value of the data, wherein the data includes the data requested by the data consumer from the one or more data-provider-related search activities.
an arrangements component accessible by the executing component, the arrangements component operable to facilitate a compensation arrangement between a data provider and a data consumer regarding one or more data provider-related search activities, wherein the facilitate is at least partially performed by a data broker, wherein the data broker performs an analysis to determine a potential value of data, wherein the potential value includes a time value of the data, wherein the data includes the data requested by the data consumer from the one or more data-provider-related search activities.
54. The system of claim 53, wherein the executing component comprises:
at least one of a computer, a controller, a processor, a programmable device, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or a digital signal processor (DSP).
55. The system of claim 53, wherein the memory comprises:
at least one of a random access memory (RAM), a read only memory (ROM), an electrically erasable programmable ROM (EEPROM), a flash memory, a compact disk ROM (CD-ROM), a digital versatile disk (DVD), an optical storage device, a magnetic storage device, a cassette, a tape, a magnetic disk, a paper storage medium, and/or a punch card.
56. The system of claim 53, wherein the arrangements component operable to facilitate a compensation arrangement between a data provider and a data consumer regarding one or more data provider-related search activities comprises:
a negotiation component operable to negotiate the compensation arrangement between the data provider and the data consumer.
57. The system of claim 56, wherein the negotiation component operable to negotiate the compensation arrangement between the data provider and the data consumer comprises:
a first transmission component operable to transmit one or more offers from a data broker to the data provider for a first compensation in exchange for a data product; and
a second transmission component operable to transmit one or more offers from the data broker to the data consumer for a second compensation in exchange for the data product.
58. The system of claim 57, wherein the second transmission component operable to transmit one or more offers from the data broker to the data consumer for a second compensation in exchange for the data product comprises:
a second transmission component operable to transmit one or more offers from the data broker to the data consumer for the second compensation that is greater than the first compensation.
59. The system of claim 53, wherein arrangements component operable to facilitate a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities comprises:
a component operable to receive at least one acceptance at the data broker from at least one of the data provider or the data consumer.
60. The system of claim 53, wherein arrangements component operable to facilitate a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities comprises:
a sub-component operable to receive at least one counter-offer at the data broker from at least one of the data provider or the data consumer.
61. The system of claim 53, wherein arrangements component operable to facilitate a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities comprises:
a negotiation component operable to perform one or more negotiation activities, wherein the negotiation component includes at least one of:
a transmission component operable to transmit a first offer from a data broker to the data provider for a first compensation in exchange for the data product;
a reception component operable to receive at least one of an acceptance or a counter-offer at the data broker from the data provider;
a transmission component operable to transmit a second offer from the data broker to the data consumer for a second compensation in exchange for the data product; or
a reception component operable to receive at least one of an acceptance or a counter-offer at the data broker from the data consumer.
62. The system of claim 61, wherein the negotiation component operable to perform one or more negotiation activities comprises:
an auto-negotiation component operable to automatically perform one or more negotiation activities.
63. The system of claim 53, wherein arrangements component operable to facilitate a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities comprises:
an auto-negotiation component operable to automatically negotiate the compensation arrangement between the data provider and the data consumer.
64. The system of claim 53, wherein arrangements component operable to facilitate a compensation arrangement between a data provider and a data consumer regarding one or more data-provider-related search activities comprises:
a compensation component operable to receive compensation from a data consumer in exchange for data gathering related to the data provider.
65. The system of claim 64, wherein the compensation component operable to receive compensation from a data consumer in exchange for data gathering related to the data provider comprises:
a compensation component operable to receive compensation from a data consumer in exchange for data gathering related to at least one networking device associated with the data provider.
66. The system of claim 64, wherein the compensation component operable to receive compensation from a data consumer in exchange for data gathering related to the data provider comprises:
a compensation component operable to receive compensation from a data consumer in exchange for data gathering related to at least one computing device associated with the data provider.
67. The system of claim 64, wherein the compensation component operable to receive compensation from a data consumer in exchange for data gathering related to the data provider comprises:
a compensation component operable to receive compensation from a data consumer in exchange for data gathering related to at least one personal communications device associated with the data provider.
68. The system of claim 64, wherein the compensation component operable to receive compensation from a data consumer in exchange for data gathering related to the data provider comprises:
a first component operable to arrange for a first level of compensation to be received from a data consumer in exchange for data gathering related to a first type of information associated with the data provider; and
a second component operable to arrange for a second level of compensation to be received from the data consumer in exchange for data gathering related to a second type of information associated with the data provider, the second level of compensation being different than the first level of compensation.
69. The system of claim 64, wherein the compensation component operable to receive compensation from a data consumer in exchange for data gathering related to the data provider comprises:
a component operable to arrange for a plurality of compensation levels to be received from a data consumer in exchange for data gathering related to at least one of an affinity-related information, a health-related information, a consumer-related information, or a personal-characteristic information.
70. The system of claim 69, wherein the component operable to arrange for a plurality of compensation levels to be received from a data consumer in exchange for data gathering related to at least one of an affinity-related information, a health-related information, a consumer-related information, or a personal-characteristic information comprises:
a component operable to arrange for a relatively higher level of compensation to be received from a data consumer in exchange for data gathering related to an affinity-related information associated with the data provider in comparison with data gathering related to another information type.
71. The system of claim 69, wherein the component operable to arrange for a plurality of compensation levels to be received from a data consumer in exchange for data gathering related to at least one of an affinity-related information, a health-related information, a consumer-related information, or a personal-characteristic information comprises:
a component operable to arrange for a relatively higher level of compensation to be received from a data consumer in exchange for data gathering related to a health-related information associated with the data provider in comparison with data gathering related to another information type.
72. The system of claim 69, wherein the component operable to arrange for a plurality of compensation levels to be received from a data consumer in exchange for data gathering related to at least one of an affinity-related information, a health-related information, a consumer-related information, or a personal-characteristic information comprises:
a component operable to arrange for a relatively higher level of compensation to be received from a data consumer in exchange for data gathering related to a consumer-related information associated with the data provider in comparison with data gathering related to another information type.
73. The system of claim 69, wherein the component operable to arrange for a plurality of compensation levels to be received from a data consumer in exchange for data gathering related to at least one of an affinity-related information, a health-related information, a consumer-related information, or a personal-characteristic information comprises:
a component operable to arrange for a relatively higher level of compensation to be received from a data consumer in exchange for data gathering related to a personal-characteristic-related information associated with the data provider in comparison with data gathering related to another information type.
74. The system of claim 64, wherein the compensation component operable to receive compensation from a data consumer in exchange for data gathering related to the data provider comprises:
a component operable to arrange for varying levels of compensation to be received from a data consumer in exchange for varying amounts of data gathering associated with the data provider.
75. The system of claim 64, wherein the compensation component operable to receive compensation from a data consumer in exchange for data gathering related to the data provider comprises:
a component operable to arrange for different levels of compensation to be received from a data consumer in exchange for different fields of use associated with the data gathering.
76. The system of claim 64, wherein the compensation component operable to receive compensation from a data consumer in exchange for data gathering related to the data provider comprises:
a component operable to arrange for different levels of compensation to be received from a data consumer based on a time value of information provided by the data gathering.
77. The system of claim 76, wherein the component operable to arrange for different levels of compensation to be received from a data consumer based on a time value of information provided by the data gathering comprises:
a component operable to arrange for a second level of compensation to be received from a data consumer at least one of associated with or during a second time period of data gathering.
US12217138 2008-06-30 2008-06-30 Facilitating compensation arrangements for data brokering Active 2030-11-19 US8429040B2 (en)
US12217138 US8429040B2 (en) 2008-06-30 2008-06-30 Facilitating compensation arrangements for data brokering
US12220918 US8468073B2 (en) 2008-06-30 2008-07-28 Facilitating compensation arrangements providing for data tracking components
US12221203 US8473387B2 (en) 2008-06-30 2008-07-30 Facilitating compensation arrangements between data providers and data consumers
US12221465 US8473388B2 (en) 2008-06-30 2008-07-31 Facilitating compensation arrangements providing for data tracking components
US12220918 Continuation-In-Part US8468073B2 (en) 2008-06-30 2008-07-28 Facilitating compensation arrangements providing for data tracking components
US12221203 Continuation-In-Part US8473387B2 (en) 2008-06-30 2008-07-30 Facilitating compensation arrangements between data providers and data consumers
US12221465 Continuation-In-Part US8473388B2 (en) 2008-06-30 2008-07-31 Facilitating compensation arrangements providing for data tracking components
US20090327149A1 true US20090327149A1 (en) 2009-12-31
US8429040B2 true US8429040B2 (en) 2013-04-23
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US12217138 Active 2030-11-19 US8429040B2 (en) 2008-06-30 2008-06-30 Facilitating compensation arrangements for data brokering
US (1) US8429040B2 (en)
US20010032210A1 (en) 2000-01-31 2001-10-18 Frank Gregory Daniel Method and apparatus for research management
US20010052761A1 (en) 2000-06-19 2001-12-20 Denso Corporation Vehicular AC generator having voltage control unit
US20020143596A1 (en) 2001-03-29 2002-10-03 Carmody Charles Scott System and method for monitoring, recording and reporting the servicing of private onsite wastewater treatment systems
US20040073570A1 (en) 2002-10-10 2004-04-15 International Business Machines Corporation System and method for blind sharing of genome data
US20040167845A1 (en) 2003-02-21 2004-08-26 Roger Corn Method and apparatus for determining a minimum price per click for a term in an auction based internet search
US20050021359A1 (en) 2001-11-02 2005-01-27 Mckinney Jerry L. Monitoring system and method
US20070258460A1 (en) 2006-05-04 2007-11-08 Bridgewater Systems Corp. Content capability clearing house systems and methods
US20080215493A1 (en) 2007-03-02 2008-09-04 Raymond Soo How Ong Method and system for negotiation
US20080228403A1 (en) 2007-03-16 2008-09-18 Johan Olof Anders Robertsson Technique to Provide Seismic Data-Based Products
US20090106084A1 (en) 2005-04-12 2009-04-23 Inlive Interactive Ltd. Market surveying
US20110276452A1 (en) 2001-04-30 2011-11-10 Marinebidexchange.Com, Inc. Procurement and Salvage Auction System
US20080120162A1 (en) 2001-03-29 2008-05-22 Charles Scott Carmody System and method for monitoring, recording and reporting the servicing of private onsite wastewater treatment systems
Aral Balkan, Mash my Flex up, aralbalkan.com-printed on Nov. 19, 2008.
Aral Balkan, Mash my Flex up, aralbalkan.com—printed on Nov. 19, 2008.
CISCO, Web 2.0 in the Enterprise Cisco IT helps to build a scalable, secure communications and collaboration platform, Cisco on Cisco: Inside Cisco IT Trends in IT-Mar. 2008.
CISCO, Web 2.0 in the Enterprise Cisco IT helps to build a scalable, secure communications and collaboration platform, Cisco on Cisco: Inside Cisco IT Trends in IT—Mar. 2008.
Claye Stokes, Small Business Web Design Guide-Part I, www.clayestokes.com-Jul. 16, 2008.
Claye Stokes, Small Business Web Design Guide—Part I, www.clayestokes.com—Jul. 16, 2008.
Dion Hinchcliffe, Building Next Generation Web 2.0 Applications, www.web20university.com-Apr. 2008.
Dion Hinchcliffe, Building Next Generation Web 2.0 Applications, www.web20university.com—Apr. 2008.
Dustin Whittle, Yahoo, Web 2.0 Expo-printed on Nov. 19, 2008.
Dustin Whittle, Yahoo, Web 2.0 Expo—printed on Nov. 19, 2008.
James Snell, Call Soap Web Services with Ajax Part 1: Build the Web Services Client, http://www-128.ibm.com/ developerworks/webservices/library/ws-wsajax-Sep. 18, 2008.
James Snell, Call Soap Web Services with Ajax Part 1: Build the Web Services Client, http://www-128.ibm.com/ developerworks/webservices/library/ws-wsajax—Sep. 18, 2008.
James Snell, Call SOAP Web services with Ajax, Part 1: Build the Web services client, ibm.com/developerWorks-Oct. 11, 2005.
James Snell, Call SOAP Web services with Ajax, Part 1: Build the Web services client, ibm.com/developerWorks—Oct. 11, 2005.
Jesse James Garrett, Ajax: A New Approach to Web Applications Recent, http://adaptivepath.com/ideas/essays/ archives/000385.php-Feb. 18, 2005.
Jesse James Garrett, Ajax: A New Approach to Web Applications Recent, http://adaptivepath.com/ideas/essays/ archives/000385.php—Feb. 18, 2005.
Jesse James Garrett, OK/Cancel, http://www.ok-cancel.com/archives/article/2005/09/why-ajax-matters-now.html-Sep. 16, 2005.
Jesse James Garrett, OK/Cancel, http://www.ok-cancel.com/archives/article/2005/09/why-ajax-matters-now.html—Sep. 16, 2005.
Karl Bishop and Doug Phillips, Using Ajax with WebSphere Portal, http://www.ibm.com/developerworks/websphere/library/techarticles/0606-bishop/0606-bishop.html-Jun. 28, 2006.
Karl Bishop and Doug Phillips, Using Ajax with WebSphere Portal, http://www.ibm.com/developerworks/websphere/library/techarticles/0606—bishop/0606—bishop.html—Jun. 28, 2006.
Microsoft Corporation, XML Developer Center, http://msdn.microsoft.com/en-us/xml/default.aspx-printed on Nov. 19, 2008.
Microsoft Corporation, XML Developer Center, http://msdn.microsoft.com/en-us/xml/default.aspx—printed on Nov. 19, 2008.
O'R Eilly Radar, Web 2.0 Principles and Best Practices, Tim O'Reilly, Executive Summary-Fall 2006.
O'R Eilly Radar, Web 2.0 Principles and Best Practices, Tim O'Reilly, Executive Summary—Fall 2006.
O'Reilly Media Inc., Mastering Ajax, Part 1: Introduction to Ajax , http://www.ibm.com/developerworks/web/library/wa-ajaxintro1.html-Dec. 6, 2005.
O'Reilly Media Inc., Mastering Ajax, Part 1: Introduction to Ajax , http://www.ibm.com/developerworks/web/library/wa-ajaxintro1.html—Dec. 6, 2005.
O'Reilly Media Inc., Mastering Ajax, Part 2: Make asynchronous requests with JavaScript and Ajax, http:// www-128.ibm.com/developerworks/java/library/wa-ajaxintro2/index.html-Jan. 17, 2006.
O'Reilly Media Inc., Mastering Ajax, Part 2: Make asynchronous requests with JavaScript and Ajax, http:// www-128.ibm.com/developerworks/java/library/wa-ajaxintro2/index.html—Jan. 17, 2006.
O'Reilly Media, Spreading the knowledge of innovators-printed on Nov. 19, 2008.
O'Reilly Media, Spreading the knowledge of innovators—printed on Nov. 19, 2008.
PALAMIDA, Security Implications of Web 2.0 Services, www.palamida.com-Mar. 2008.
PALAMIDA, Security Implications of Web 2.0 Services, www.palamida.com—Mar. 2008.
Paul Hammond and Simon Wilson, d.Construct 2006, http://www.paulhammond.org/2006/dconstruct-Sep. 8, 2006.
Paul Hammond and Simon Wilson, d.Construct 2006, http://www.paulhammond.org/2006/dconstruct—Sep. 8, 2006.
Philip McCarthy, Software development consultant, Independent, Ajax for Java developers: Build dynamic Java applications, http://www-128.ibm.com/developerworks/library/j-ajax1-Sep. 20, 2005.
Philip McCarthy, Software development consultant, Independent, Ajax for Java developers: Build dynamic Java applications, http://www-128.ibm.com/developerworks/library/j-ajax1—Sep. 20, 2005.
Satayam, Service-Oriented Architecture (SOA)-2008.
Satayam, Service-Oriented Architecture (SOA)—2008.
Steven Webster, Macromedia Flash MX Professional 2004, http://store2.adobe.com/devnet/flash/articles/ria-dataservices.html-Sep. 18, 2008.
Steven Webster, Macromedia Flash MX Professional 2004, http://store2.adobe.com/devnet/flash/articles/ria—dataservices.html—Sep. 18, 2008.
Tim O'Reilly, What is Web 2.0, http://r2computing.blogspot.com/2008/04/web-20-democracy-of-ideas.html-Sep. 30, 2005.
Tim O'Reilly, What is Web 2.0, http://r2computing.blogspot.com/2008/04/web-20-democracy-of-ideas.html—Sep. 30, 2005.
U.S. Appl. No. 12/220,918, Flake et al.
U.S. Appl. No. 12/221,203, Flake et al.
U.S. Appl. No. 12/221,465, Flake et al.
U.S. Appl. No. 12/229,506, Flake et al.
William White, RIA Applications and the Web Presentation, Yahoo! Media Innovation Group-printed on Nov. 19, 2008.
William White, RIA Applications and the Web Presentation, Yahoo! Media Innovation Group—printed on Nov. 19, 2008.
Zaihan Yang and Chengfei Liu, Implementing a Flexible Compensation Mechanism for Business Processes in Web Service Environment, IEEE International Conference on Web Services (ICWS'06)-Jan. 2006.
Zaihan Yang and Chengfei Liu, Implementing a Flexible Compensation Mechanism for Business Processes in Web Service Environment, IEEE International Conference on Web Services (ICWS'06)—Jan. 2006.
US20090327149A1 (en) 2009-12-31 application
Acemoglu et al. 2011 Bayesian learning in social networks
US7412400B1 (en) 2008-08-12 System and method for providing personal location information to location consumers from a location services server
Park et al. 2014 An integrated adoption model of mobile cloud services: exploration of key determinants and extension of technology acceptance model
US20080082467A1 (en) 2008-04-03 Personal data mining
US20060190281A1 (en) 2006-08-24 Systems and methods to facilitate self regulation of social networks through trading and gift exchange
US20140052683A1 (en) 2014-02-20 Recommending native applications
US20090164256A1 (en) 2009-06-25 Device, system, and method of collaborative insurance
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