Abstract:
Exemplary embodiments of the present disclosure are directed towards a computer implemented methods and system for distribution of revenue generated in response to activities performed in a search network. The method includes identifying a revenue generated in response to a type of an activity involved in generating the revenue in a search network; and distributing the revenue generated among a plurality of stake holders of the search network based on a predetermined percentage driven criteria employed in the search network.

Description:
TECHNICAL FIELD 
       [0001]    The present disclosure relates to the field of revenue driven models in search networks. More particularly, the present disclosure relates to computer implemented methods and system for distribution of revenue generated in response to activities performed in a search network. 
       BACKGROUND 
       [0002]    The statements in this section merely provide background information related to the present disclosure and may not constitute prior art. 
         [0003]    Typically keywords are used in search engine to obtain the intended search results. Many of the search service providers have created paid inclusion or paid placement programs to obtain broader reach for more targeted advertising audiences. By identifying the keywords that the target audience is using to find information or products related to a business, a monetized search box is provided, that earn a fee or a commission for search service providers each time the user conducts a search. 
         [0004]    For example, a user conducts search for “HOTELS IN BOMBAY”, in response the intended search results are displayed. For providing the targeted search results to the user the hotels in Bombay pay to search service providers to display their advertisements. In return the search service providers earn revenues by displaying the targeted search results. These advertising strategies implemented by the search service providers create huge revenue to the search service providers and the users are not benefited. Moreover, the search service providers fail to generate the revenue associated with the activities performed in the search network. 
         [0005]    In the light of aforementioned discussion there exists need for a system and method that would ameliorate and overcome the abovementioned disadvantages. 
       BRIEF SUMMARY 
       [0006]    The following presents a simplified summary of the disclosure in order to provide a basic understanding to the reader. This summary is not an extensive overview of the disclosure and it does not identify key/critical elements of the disclosure or delineate the scope of the disclosure. Its sole purpose is to present some concepts disclosed herein in a simplified form as a prelude to the more detailed description that is presented later. 
         [0007]    An exemplary objective of the present disclosure it to provide a search network for enabling the stake holders of the search network earn revenue in response to activities performed in the search network. 
         [0008]    Another exemplary objective of the present disclosure is to convert activities performed in the search network to revenues. 
         [0009]    Another exemplary objective of the present disclosure is to dynamically track the value of keyword(s) and/or hashtags and invest the assets earned for buying additional keyword(s) and/or hashtags. 
         [0010]    According to an exemplary aspect, the method includes identifying a revenue generated in response to a type of an activity involved in generating the revenue in a search network; and 
         [0011]    According to an exemplary aspect, the method includes distributing the revenue generated among a plurality of stake holders of the search network based on a predetermined percentage driven criteria employed in the search network. 
         [0012]    One or more of the above-disclosed embodiments in addition to certain alternatives are provided in further detail below with reference to the attached figures. The disclosed subject matter is not, however, limited to any particular embodiment disclosed. 
     
    
     
       BRIEF DESCRIPTION OF DRAWINGS 
         [0013]    The drawings described herein are for illustration purposes only and are not intended to limit the scope of the present disclosure in anyway. Throughout the disclosure, like elements are represented by like reference numerals, which are given by way of illustration only and thus are not limitative of the various embodiments. 
           [0014]    Other objects and advantages of the present disclosure will become apparent to those skilled in the art upon reading the following detailed description of the preferred embodiments, in conjunction with the accompanying drawings, wherein: 
           [0015]      FIG. 1  is a diagram depicting a search network, according to an exemplary embodiment of the present disclosure. 
           [0016]      FIG. 2  is a block diagram of a system for distribution of revenue generated in response to activities performed in a search network, according to an exemplary embodiment of the present disclosure. 
           [0017]      FIG. 3  is a diagram depicting the system of  FIG. 1  and  FIG. 2 , according to an exemplary embodiment of the present disclosure. 
           [0018]      FIG. 4  is a flow diagram depicting a method for distribution of revenue generated in response to activities performed in a search network, according to an exemplary embodiment of the present disclosure. 
       
    
    
     DETAILED DESCRIPTION OF EXEMPLARY EMBODIMENTS 
       [0019]    It is to be understood that the present disclosure is not limited in its application to the details of construction and the arrangement of components set forth in the following description or illustrated in the drawings. The present disclosure is capable of other embodiments and of being practiced or of being carried out in various ways. Also, it is to be understood that the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting. 
         [0020]    The use of “including”, “comprising” or “having” and variations thereof herein is meant to encompass the items listed thereafter and equivalents thereof as well as additional items. The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced item. 
         [0021]    According to a non-limiting exemplary embodiment of the present disclosure, computer implemented methods and system for distribution of revenue generated in response to activities performed in a search network are disclosed. 
         [0022]    Referring to  FIG. 1  is a diagram  100  depicting a search network, according to an exemplary embodiment of the present disclosure. The search network includes a system for distribution of revenue generated in response to activities performed in a search network, herein after referred as system  102 . The search network also manages revenue generated in data repository unit  103  connected to the system  102 . The search network  100  is a network of computing devices  104 ,  106 ,  108  and system  102  in which the present invention may be implemented. The computing devices  104 ,  106  and  108  and system  102  are all connected over a network  110 . The network  108  may include, but not limited to, an Ethernet, a local area network (LAN), or a wide area network (WAN), e.g., the Internet, or a combination of networks. 
         [0023]    The system  102  allows the user to perform different types of activities in the search network. Furthermore the system  102  allows the user to input keyword(s) and/or hashtags for retrieving the desired results. The different type of activities in the search network may include, but not limited to, conducting search in the search network, publishing advertisements in response to the user conducting search in the search network, trading of the keyword(s) and/or hashtags and/or hashtags in the search network, and renewal of the of the keyword(s) in the search network. Trading keyword(s) and/or hashtags in the search network may include, but not limited to, buying the keyword(s) and/or hashtags and selling the keyword(s) and/or hashtags. The revenue generated in response to the type of activities is distributed among the stake holders by the system  102 . The stake holders may include, but not limited to, a user conducting search in the search network, an owner of the and/or hashtags used by the user in the search network, an owner of the search network, and an owner of an application of the search network. The application of the search network may be used by the user for conducting the search. The and/or hashtags here may include but not limited to any alphabet(s), word(s), special character(s), numeral(s), and alphanumeric character(s). The revenue generated may be distributed in the form of Bitcoin, loyalty points, rewards, digital currency, vouchers, reward points, coupons, and cash, without limiting the scope of the disclosure. For example the revenue generated may be distributed equally among the stake holders and/or on a percentage basis. Considering the revenue generated as 10000 satoshis, each stake holder receives 2,500 satoshis. According to an exemplary embodiment of the present disclosure, the transactions associated with the distribution of the revenue may be recorded in a public distributed ledger called the block chain. 
         [0024]    The system  102  further allows the user to trade and/or hashtags in the search network. In response to the user using the and/or hashtags of the owner, the system  102  dynamically credits assets to the account of the owner of the keyword. Also, the system  102  dynamically credits assets to the account of the user conducting the search, in response to conducting the search in the search network. The assets here may include, but not limited, to Bitcoin, loyalty points, rewards, digital currency, vouchers, reward points, coupons, and cash. The assets earned by the user may be used for buying the keywords. For example, for each search made by the user using the keyword, the owner of the keyword earns predetermined value of assets. 
         [0025]    Referring to  FIG. 2  is a block diagram of a system  102  for distribution of revenue generated in response to activities performed in a search network, according to an exemplary embodiment of the present disclosure. The system  102  includes a revenue management unit  112  configured for managing the revenues generated in response to the activities performed in the search network. The revenue management unit  112  includes an activity identification logic  114  configured for identifying the type of activity performed in the search network for generating the revenue. 
         [0026]    The revenue management unit  112  also includes a revenue calculation logic  116  configured for calculating total revenue generated in response to the activity performed in the search network, a revenue distribution logic  118  configured for distribution of revenue generated in the search network among the stake holders, and a stake holder identification logic  120  for identification of the stake holders eligible to receiving the distributed revenue. The distributed revenue is credited to the account of the stake holder. 
         [0027]    Referring to  FIG. 3  is a diagram  300  depicting the system  102 , according to an exemplary embodiment of the present disclosure. It should be noted, however, that embodiments are not limited to implementation on such computing devices, but may be implemented on any of a variety of different types of computing units within the scope of embodiments hereof. The system  102  is only one example of search and it is not intended to suggest any limitation as to the scope of use or functionality of the disclosure. 
         [0028]    In some embodiments, the system  102  may include a bus  312 , a processor  314 , a memory  316 , a network device  318 , an input device  320 , and an output device  322 . The bus  312  may include a path that permits communication among the components of the system  102 . 
         [0029]    The memory  316  stores the keyword activity identification logic  114 , revenue calculation logic  116 , revenue distribution logic  118  and stake holder identification logic  120  as software. 
         [0030]    The memory  316  may be any type of computer memory known in the art or future-developed for electronically storing data and/or logic, including volatile and non-volatile memory. In this regard, memory  316  can include random access memory (RAM), read-only memory (ROM), flash memory, any magnetic computer storage unit, including hard disks, floppy discs, or magnetic tapes, and optical discs. 
         [0031]    The processor  314  comprises processing hardware for interpreting or executing tasks or instructions stored in the memory  316 . Note that the processor  314  may be a microprocessor, a digital processor, or other type of circuitry configured to run and/or execute instructions. 
         [0032]    The network device  318  may be any type of network unit (e.g., a modem) known in the art or future-developed for communicating over a network  110  ( FIG. 1 ). 
         [0033]    The input device  320  is any type of input unit known in the art or future-developed for receiving data. As an example, the input unit  320  may be a keyboard, a mouse, a touch screen, a serial port, a scanner, a camera, or a microphone. 
         [0034]    The output device  322  may be any type of output unit known in the art or future-developed for displaying or outputting data. As an example, the output device  322  may be a liquid crystal display (LCD) or other type of video display unit, a speaker, or a printer. 
         [0035]    Further note that, the system  102  components may be implemented by software, hardware, firmware or any combination thereof. In the exemplary system  102 , depicted by  FIG. 1  and  FIG. 2 , all the components are implemented by software and stored in the memory  316 . 
         [0036]    Referring to  FIG. 4  is a flow diagram  400  depicting a method for distribution of revenue generated in response to activities performed in a search network, according to an exemplary embodiment of the present disclosure. The method starts at step  402  by identifying the activity performed in the search network and continues to step  404  by calculating the revenue generated in response to the activity performed in the search network. The method continues to next step  406  by distribution of the revenue among the stake holders and transferring the revenue to the stake holder accounts at step  408 . 
         [0037]    The claimed subject matter has been provided here with reference to one or more features or embodiments. Those skilled in the art will recognize and appreciate that, despite of the detailed nature of the exemplary embodiments provided here; changes and modifications may be applied to said embodiments without limiting or departing from the generally intended scope. These and various other adaptations and combinations of the embodiments provided here are within the scope of the disclosed subject matter as defined by the claims and their full set of equivalents.