Source: http://www.google.de/patents/US7716161
Timestamp: 2017-11-21 12:04:31
Document Index: 399933542

Matched Legal Cases: ['Application No. 2', 'Application No. 2', 'Application No. 038227495', 'Application No. 03', 'Application No. 10', 'Application No. 2005']

Patent US7716161 - Methods and apparatus for serving relevant advertisements - Google Patentsuche
The relevance of advertisements to a user's interests is improved. In one implementation, the content of a web page is analyzed to determine a list of one or more topics associated with that web page. An advertisement is considered to be relevant to that web page if it is associated with keywords belonging...http://www.google.de/patents/US7716161?utm_source=gb-gplus-sharePatent US7716161 - Methods and apparatus for serving relevant advertisements
Veröffentlichungsnummer US7716161 B2
Auch veröffentlicht unter CA2499801A1, CA2499801C, CN102096882A, EP1552360A2, EP1552360A4, US8171034, US9799052, US20040059708, US20100174605, US20120173334, US20140351029, US20160055530, WO2004029758A2, WO2004029758A3
Veröffentlichungsnummer 10314427, 314427, US 7716161 B2, US 7716161B2, US-B2-7716161, US7716161 B2, US7716161B2
Erfinder Jeffrey A. Dean, Georges R. Harik, Paul Bucheit
Ursprünglich Bevollmächtigter Google, Inc,
Patentzitate (60), Nichtpatentzitate (45), Referenziert von (77), Klassifizierungen (20), Juristische Ereignisse (3)
US 7716161 B2
1. A computer implemented method for determining if an advertisement is relevant to a target document, the method comprising:
identifying a set of one or more topics of the target document by analyzing the content of the target document;
comparing the targeting information to the set of one or more topics to determine if a match exists;
determining that the advertisement is relevant to the target document if the match exists;
making a serving determination using the determination of whether or not the advertisement is relevant to the target document; and
controlling serving of the advertisement for presentation to a requestor via a client device using the serving determination,
wherein the advertisement belongs to an advertiser,
wherein the targeting information includes a set of one or more topics previously provided from the advertiser,
wherein analyzing the content comprises identifying a set of one or more topics by calculating weighted terms for the target document based on text within the target document, and
wherein the weighted terms are provided in a term vector and are assigned weights based on the frequency with which the terms appear in the text of the target document.
2. A computer implemented method for determining if an advertisement is relevant to a target document, the method comprising:
wherein the weighted terms are provided in a term vector and are assigned weights based on the infrequency with which the terms appear across a collection of documents.
3. A computer implemented method for determining if an advertisement is relevant to a target document, the method comprising:
wherein the set of one or more topics contains those of the weighted terms whose weight exceeds a defined threshold.
4. The computer implemented method of claim 3, wherein identifying targeting information comprises generating a list of topics by analyzing content of the advertisement.
5. The computer implemented method of claim 3, wherein analyzing the content further comprises identifying a topic based on other portions of a collection of which the target document is a part, wherein the collection is one of (a) documents under a common directory, and (b) Web pages belonging to the same Website.
6. The computer implemented method of claim 3, wherein the act of identifying a set of one or more topics of the target document further comprises:
identifying a list of one or more topics of the target document based on the category.
7. The computer implemented method of claim 6, wherein meta-information associated with the target document is used to classify the target document into a category.
8. The computer implemented method of claim 7, wherein the meta-information includes information from another document that contains a reference to the target document.
9. The computer implemented method of claim 7, wherein the meta-information includes information from another document to which the target document refers.
10. The computer implemented method of claim 8, wherein the information from another document includes meta-information associated with the other document.
11. The computer implemented method of claim 3, wherein comparing the targeting information to the topic comprises comparing the targeting information to the topic or a related topic to determine if a match exists.
12. The computer implemented method of claim 3, wherein the target document is a target web page.
13. The computer implemented method of claim 12, wherein analyzing the content further comprises:
analyzing terms within the target web page and including them in the set of one or more topics if the frequency with which they appear in the target web page exceeds a threshold value.
determining terms that are related to one or more topics in the set; and
supplementing the set to include the related terms.
15. The computer implemented method of claim 12, wherein analyzing the content further comprises analyzing terms within a title of the target web page and including them in the set of one or more topics if the frequency with which they appear in the title exceeds a threshold value.
16. The computer implemented method of claim 12, wherein analyzing the content further comprises:
17. The computer implemented method of claim 16, wherein supplementing includes replacing at least a portion of the target web page content with at least a portion of the similar web page content.
18. The computer implemented method of claim 16, wherein determining at least one similar web page comprises determining that a web page is similar if it contains a link to the target web page.
19. The computer implemented method of claim 16, wherein determining at least one similar web page comprises determining that a web page is similar if the target web page contains a link to the web page.
20. The computer implemented method of claim 16, wherein the web page is contained in a host, and wherein determining at least one similar web page comprises determining that a web page is similar if it is contained within the same host as the target web page.
21. The computer implemented method of claim 16, wherein the web page is contained in a host, and wherein determining at least one similar web page comprises determining that a web page is similar if it is stored within a subdirectory of related pages on the same host as the target web page.
22. The computer implemented method of claim 12, wherein analyzing the content further comprises:
23. The computer implemented method of claim 22, wherein supplementing includes replacing at least a portion of the target web page content with at least a portion of the anchor text.
24. The computer implemented method of claim 22, wherein supplementing includes replacing the target web page content with at least a portion of the anchor text.
25. The computer implemented method of claim 12, wherein analyzing the content further comprises:
identifying a list of one or more topics of the target web page based on the category.
26. The computer implemented method of claim 25, wherein meta-information associated with the target web page is used to classify the target web page into a category.
27. The computer implemented method of claim 26, wherein the meta-information includes information from another document that contains a reference to the target web page.
28. The computer implemented method of claim 27, wherein the information from another document includes meta-information associated with the other document.
29. The computer implemented method of claim 26, wherein the meta-information includes anchor text corresponding to the target web page.
30. The computer implemented method of claim 12, wherein identifying targeting information comprises generating a set of one or more topics based on content of the advertisement.
31. The computer implemented method of claim 12, wherein identifying targeting information comprises generating a set of one or more topics for the advertisement based on text of queries on a search engine that yield a result that links to a web page on a web site to which the advertisement links.
32. The computer implemented method of claim 3, wherein the targeting information includes a set of one or more keywords or phrases previously provided from the advertiser through an ad campaign entry and management component.
33. The computer implemented method of claim 32, wherein the set of one or more keywords or phrases previously provided from the advertiser through an ad campaign entry and management component are associated with a separate advertising creative.
34. A computer implemented method for determining if an advertisement is relevant to a target document, the method comprising:
wherein the set of one or more topics includes a predefined number of those of the weighted terms with the highest weights among the weighted terms.
FIG. 1 is a diagram illustrating an environment within which the invention may be implemented;
FIG. 2 is a diagram functionally illustrating an advertising system consistent with the invention;
FIG. 3 is a diagram illustrating apparatus with which the invention may be implemented;
FIG. 4 is a flow diagram of an exemplary method for providing relevant advertisements, consistent with the present invention; and
FIG. 5 is a sample target document.
FIG. 1 is a diagram illustrating an environment within which the invention may be implemented. The environment includes an advertiser 110, an advertising system 120, an advertisement consumer 130, and an advertising target 140.
Advertising system 120 interfaces with both the advertiser 110 and the advertisement consumer 130. It may perform a variety of functions, as explained in more detail below in reference to FIG. 2. This invention may be used with such an advertising system 120.
FIG. 2 is a diagram functionally illustrating an advertising system consistent with the invention. The system includes an ad campaign entry and management component 210, a tools component 220, a billing component 230, one or more databases 240, an ad consumer interface component 250, an ad selection component 260, an ad ordering component 270, an ad serving component 280, and a statistics engine component 290. If the present invention is to be used with such an advertising system, it will primarily concern ad selection component 260. To help understand the invention, other components of the advertising system will be explained below. Furthermore, although FIG. 2 shows a particular arrangement of components constituting advertisement system 120, those skilled in the art will recognize that not all components need be arranged as shown, not all components are required, and that other components may be added to, or replace, those shown.
FIG. 3 is a diagram illustrating an architecture in which the present invention may be implemented. The architecture includes multiple client devices 302, a server device 310, and a network 301, which may be, for example, the Internet. Client devices 302 each include a computer-readable medium 309, such as random access memory, coupled to a processor 308. Processor 308 executes program instructions stored in memory 309. Client devices 302 may also include a number of additional external or internal devices, such as, without limitation, a mouse, a CD-ROM, a keyboard, and a display. Thus, as will be appreciated by those skilled in the art, the client devices may be personal computers, personal digital assistances, mobile phones, content players, etc.
FIG. 4 is a flow diagram of an exemplary method for determining if an advertisement is relevant to a document, consistent with the present invention. As used herein, the term “document” includes any type of paper or electronic document or file, including audio, video, image, text, etc. That is, as will be appreciated by one skilled in the art, a “document” as used in the specification is any machine-readable and machine-storable work product. A document may be a file, a combination of files, one or more files with embedded links to other files, etc. For the sake of illustration, it may be understood that the process described herein takes place as part of the ad selection component 260, although those skilled in the art will recognize that it need not take place in that component alone.
US5809242 19. Apr. 1996 15. Sept. 1998 Juno Online Services, L.P. Electronic mail system for displaying advertisement at local computer received from remote system while the local computer is off-line the remote system
US6041323 17. Apr. 1997 21. März 2000 International Business Machines Corporation Information search method, information search device, and storage medium for storing an information search program
US6516321 13. Aug. 1999 4. Febr. 2003 Carlos De La Huerga Method for database address specification
US6772200 30. Dez. 1997 3. Aug. 2004 Intel Corporation System for providing non-intrusive dynamic content to a client device
US7013298 3. Mai 1999 14. März 2006 Hyperphrase Technologies, Llc Method and system for automated data storage and retrieval
US7139732 24. Juli 2000 21. Nov. 2006 Roger Marx Desenberg Systems, methods, and computer program products facilitating real-time transactions through the purchase of lead options
EP0913779A2 14. Mai 1998 6. Mai 1999 Mitsubishi Denki Kabushiki Kaisha Browser for documents with annotations
JP2001243256A Titel nicht verfügbar
JP2001307464A Titel nicht verfügbar
JP2002108924A Titel nicht verfügbar
JP2002117049A Titel nicht verfügbar
JP2002245061A Titel nicht verfügbar
JP2002259790A Titel nicht verfügbar
JPH1145278A Titel nicht verfügbar
JPH09311870A Titel nicht verfügbar
KR100295032B1 Titel nicht verfügbar
KR20010074095A Titel nicht verfügbar
KR20010082984A Titel nicht verfügbar
KR20010084925A Titel nicht verfügbar
KR20020032774A Titel nicht verfügbar
KR20020067828A Titel nicht verfügbar
WO2001044992A1 * 31. Okt. 2000 21. Juni 2001 Yellowbrix, Inc. Context matching system and method
WO2001050320A1 21. Dez. 2000 12. Juli 2001 Auctionwatch.Com, Inc. Minimal impact crawler
WO2001063472A2 22. Febr. 2001 30. Aug. 2001 Bmidas.Com Ltd. System and method for secure, query-driven, targeted electronic solicitation
6 * Automating Ad Intelligence by Jayson Matthews, Silicon Valley Internet.com, (http://siliconvalley.internet.com/news/article.php/3531 420651), (Published Jul. 24, 2000).
7 Baseview Products, Inc., AdManagerPro Administration Manual v. 2.0, Dec. 1998.
8 Baseview Products, Inc., ClassManagerPro Administration Manual v. 1.0.5, Feb. 1, 1997.
9 Business Wire, "Global Network, Inc. Enters Into Agreement in Principle With Major Advertising Agency," Oct. 4, 1999.
10 * C. Aggarwal, J. Wolf and P. Yu, "A Framework for the Optimizing of WWW Advertising", International IFIP Working Conference on Electronic Commerce, Hamburg, Germany, 1998, published in Trends in Distributed Systems for Electronic Commerce, edited by W. Lamersdorf and M. Merz, Springer Verlag Lecture Notes in Computer Science, vol. 1402, pp. 1 10, 1998.
11 Canadian Office Action to Canadian Patent Application No. 2,499,669, dated Jun. 3, 2008 (3 pgs.).
12 Canadian Office Action to Canadian Patent Application No. 2,499,801, dated Jun. 4, 2009 (3 pgs.).
13 Chinese Office Action for Chinese Patent Application No. 038227495, dated Nov. 9, 2007 (8 pgs.) (with translation 21 pgs.).
14 Communication for European Patent Application No. 03 759 523.8 - 1238, mailed on Feb. 23, 2010 (4 pgs.).
15 Decision Rendered by Trial Board for Invalidation Trial Against Korean Patent No. 797,401 (62 pgs.) (with English summary (1 pg.)) (Filed on Apr. 28, 2009.).
16 Dedrick, R., A Consumption Model for Targeted Electronic Advertising, Intel Architecture Labs, IEEE, 1995.
17 Dedrick, R., Interactive Electronic Advertising, IEEE, 1994.
18 First Reply Brief for Invalidation Trial Against Korean Patent No. 797,401 (41 pgs.) (with summarized English translation (19 pgs.)) (Filed on Jul. 22, 2008.).
19 Fourth Reply Brief for Invalidation Trial Against Korean Patent No. 797,401 (17 pgs.) (with summarized English translation (7 pgs.)) (Filed on Apr. 10, 2009.).
20 Graham, I., The HTML Sourcebook, pp. iii-viii; 22-27; 87-88; 166-168; 409-416, John Wiley & Sons (1995) (ISBN 0471118494).
21 Information Access Technologies, Inc., Aaddzz brochure, "The Best Way To Buy and Sell Web Advertising Space," © 1997.
22 Information Access Technologies, Inc., Aaddzz.com website archive from www. Archive.org, archived on Jan. 30, 1998.
23 * Kohda Youji et al., "Ubiquitous Advertising on the WWW: Merging Advertisement on the Browser", Fifth International World Wide Conference, May 6-10, 1996, Paris, France, pp. 1-9.
24 * Marc Langheinrich et al., "Unintrusive Customization Techniques for Web Advertising", Computer Networks, vol. 31. No. 11 16, pp. 1259 1272. (Published 1999).
25 * Mark Rosenstein and Carol Lochbaum, "Recommending from Content: Preliminary Results from an E Commerce Experiment", CHI 2000. Published Apr. 1 6, 2000, The Hague, The Netherlands.
26 Mills, T., "Providing World Wide Access to Historical Sources," Computer Networks and ISDN Systems, vol. 29, Nos. 8-13, pp. 1317-1325, (Sep. 1997) (Presented at Sixth Int'l World Wide Web Conf., Santa Clara, CA (Apr. 7-11, 1997)).
27 Myka, A., "Automatic Hypertext Conversion of Paper Document Collections," (ch. 6), Digital Libraries Workshop, pp. 65-90, DL '94, (Newark NJ) (May, 1994) (selected papers).
28 Notice of Preliminary Rejection to Korean Patent Application No. 10-2005-7005101, dated Sep. 14, 2006, (4 pgs.), with English language translation (5 pgs.).
29 Notice of Rejection Grounds for Japanese Patent Application No. 2005-501981, mailed Nov. 6, 2007 (3 pgs.) with translation (3 pgs.).
30 Petitioner's Appeal Brief for Invalidation Trial Against Korean Patent No. 797,401 (51 pgs.) (with summarized English translation (20 pgs.)) (Filed on Jul. 17, 2009.).
31 Petitioner's First Brief Against Korean Patent No. 797,401 (37 pgs.) (with summarized English translation (10 pgs.)) (Filed on Jun. 11, 2008.).
32 Petitioner's Fourth Brief Against Korean Patent No. 797,401 (7 pgs.) (with summarized English translation (3 pgs.)) (Filed on Mar. 17, 2009.).
33 Petitioner's Second Brief Against Korean Patent No. 797,401 (34 pgs.) (with summarized English translation (11 pgs.)) (Filed on Dec. 1, 2008.).
34 Petitioner's Second Brief for Invalidation Trial Against Korean Patent No. 797,401 (29 pgs.) (with summarized English translation (10 pgs.)) (Filed on Jan. 18, 2010.).
35 Petitioner's Third Brief Against Korean Patent No. 797,401 (21 pgs.) (with summarized English translation (8 pgs.)) (Filed on Feb. 9, 2009.).
36 Request for Reexamination of U.S. Patent No. 7,249,059 B2, Control No. 95/001,069.
37 Respondent's First Reply Brief for Invalidation Trial Against Korean Patent No. 797,401 (38 pgs.) (with summarized English translation (20 pgs.)) (Filed on Nov. 6, 2009.).
38 Second Reply Brief for Invalidation Trial Against Korean Patent No. 797,401 with Request for Amendment (80 pgs.) (with summarized English translation (29 pgs.)) (Filed on Jan. 14, 2009.).
39 Tenenbaum, et al., "Eco System: An Internet Commerce Architecture," IEEE Computer, pp. 48-55, (May 1997).
40 Third Reply Brief for Invalidation Trial Against Korean Patent No. 797,401 (43 pgs.) (with summarized English translation (16 pgs.)) (Filed on Feb. 25, 2009.).
41 Thistlewaite, P., "Automatic Construction and Management of Large Open Webs," Information Processing and Management; an International Journal (Ed. Tefko Saracevic), vol. 33, No. 2, pp. 161-173 (Mar. 1997) (ISSN 0306-4573).
42 U. S. Appl. No. 95/001,061, Reexamination of Stone et al.
43 U. S. Appl. No. 95/001,068, Reexamination of Stone et al.
44 U. S. Appl. No. 95/001,069, Reexamination of Stone et al.
45 U. S. Appl. No. 95/001,073, Reexamination of Stone et al.
US8200530 21. Mai 2008 12. Juni 2012 Google Inc. Determining complementary product content from primary product document information and providing such complementary product content in association with the primary product document, in an online environment
US8200531 23. Nov. 2010 12. Juni 2012 Google Inc. Determining complementary product content from primary product document information and providing such complementary product content in association with the primary product document, in an online environment
US8301649 4. Sept. 2008 30. Okt. 2012 Amazon Technologies, Inc. Dynamic categorizations for electronic advertising
US8312001 * 25. Febr. 2011 13. Nov. 2012 Google Inc. Determining content to be provided by an entity for rendering via a resource in a target document or notifying an alternative entity of the availability of the resource
US8392395 3. Sept. 2010 5. März 2013 News Distribution Network, Inc. Determining advertising placement on preprocessed content
US8401902 25. Juni 2007 19. März 2013 Lucinda Stone Method for using computers to facilitate and control the creating of a plurality of functions
US8463772 13. Mai 2010 11. Juni 2013 Google Inc. Varied-importance proximity values
US8666816 14. Sept. 2004 4. März 2014 Google Inc. Method and system for access point customization
US8700630 * 24. Febr. 2009 15. Apr. 2014 Yahoo! Inc. Algorithmically generated topic pages with interactive advertisements
US8805727 31. Mai 2012 12. Aug. 2014 Google Inc. Determining complementary product content from primary product document information and providing such complementary product content in association with the primary product document, in an online environment
US8832129 15. Sept. 2012 9. Sept. 2014 Amazon Technologies, Inc. Dynamic categorizations for electronic advertising
US8990105 * 4. Jan. 2011 24. März 2015 Magnetic Media Online, Inc. Systems, methods, and media for targeting advertisements based on user search information
US9111113 1. Nov. 2010 18. Aug. 2015 Microsoft Technology Licensing, Llc Trusted online advertising
US9203911 11. Nov. 2008 1. Dez. 2015 Qualcomm Incorporated Method and system for using a cache miss state match indicator to determine user suitability of targeted content messages in a mobile environment
US9203912 11. Nov. 2008 1. Dez. 2015 Qualcomm Incorporated Method and system for message value calculation in a mobile environment
US9286624 10. Sept. 2009 15. März 2016 Google Inc. System and method of displaying annotations on geographic object surfaces
US9390180 * 4. Sept. 2008 12. Juli 2016 Amazon Technologies, Inc. Landing page selection for linked advertising
US9391789 11. Dez. 2008 12. Juli 2016 Qualcomm Incorporated Method and system for multi-level distribution information cache management in a mobile environment
US9392074 6. Juni 2008 12. Juli 2016 Qualcomm Incorporated User profile generation architecture for mobile content-message targeting
US9398113 6. Juni 2008 19. Juli 2016 Qualcomm Incorporated Methods and systems for providing targeted information using identity masking in a wireless communications device
US9430785 8. Sept. 2014 30. Aug. 2016 Amazon Technologies, Inc. Dynamic categorizations for electronic advertising
US9485322 6. Juni 2008 1. Nov. 2016 Qualcomm Incorporated Method and system for providing targeted information using profile attributes with variable confidence levels in a mobile environment
US9497286 6. Juni 2008 15. Nov. 2016 Qualcomm Incorporated Method and system for providing targeted information based on a user profile in a mobile environment
US9596317 6. Juni 2008 14. März 2017 Qualcomm Incorporated Method and system for delivery of targeted information based on a user profile in a mobile communication device
US9659309 16. Mai 2014 23. Mai 2017 Google Inc. Suggesting and/or providing ad serving constraint information
US9705998 11. Nov. 2008 11. Juli 2017 Qualcomm Incorporated Method and system using keyword vectors and associated metrics for learning and prediction of user correlation of targeted content messages in a mobile environment
US20060058019 * 15. Sept. 2004 16. März 2006 Chan Wesley T Method and system for dynamically modifying the appearance of browser screens on a client device
US20070100689 * 31. Okt. 2005 3. Mai 2007 Brian Axe Selection and/or application of special ad styles
US20070124206 * 30. Nov. 2006 31. Mai 2007 Utbk, Inc. Methods and Apparatuses to Select Communication Tracking Mechanisms
US20080005268 * 30. Juni 2006 3. Jan. 2008 Johnny Chen Providing ad serving entity attribution and/or solicitation messages for call-on-select listings, such as for calls placed via call-on-select free listings
US20090011740 * 6. Juni 2008 8. Jan. 2009 Qualcomm Incorporated Method and system for providing targeted information based on a user profile in a mobile environment
US20090012861 * 6. Juni 2008 8. Jan. 2009 Qualcomm Incorporated Method and system for providing targeted information using profile attributes with variable confidence levels in a mobile environment
US20090013024 * 6. Juni 2008 8. Jan. 2009 Qualcomm Incorporated Methods and systems for providing targeted information using identity masking in a wireless communications device
US20090094117 * 7. Okt. 2008 9. Apr. 2009 Jon Scott Zaccagnino Natural targeted advertising engine
US20090125517 * 11. Nov. 2008 14. Mai 2009 Qualcomm Incorporated Method and system for keyword correlation in a mobile environment
US20090125585 * 11. Nov. 2008 14. Mai 2009 Qualcomm Incorporated Method and system for using a cache miss state match indicator to determine user suitability of targeted content messages in a mobile environment
US20090157834 * 11. Dez. 2008 18. Juni 2009 Qualcomm Incorporated Method and system for multi-level distribution information cache management in a mobile environment
US20090216847 * 11. Nov. 2008 27. Aug. 2009 Qualcomm Incorporated Method and system for message value calculation in a mobile environment
US20090292605 * 21. Mai 2008 26. Nov. 2009 Kniaz Robert Determining complementary product content from primary product document information and providing such complementary product content in association with the primary product document, in an online environment
US20100228712 * 24. Febr. 2009 9. Sept. 2010 Yahoo! Inc. Algorithmically Generated Topic Pages with Interactive Advertisements
US20110071897 * 23. Nov. 2010 24. März 2011 Google Inc. Determining complementary product content from primary product document information and providing such complementary product content in association with the primary product document, in an online environment
US20110112903 * 3. Sept. 2010 12. Mai 2011 Inform Technologies, Llc Determining advertising placement on preprocessed content
US20110270677 * 25. Febr. 2011 3. Nov. 2011 Bronson Kenneth W Determining content to be provided by an entity for rendering via a resource in a target document or notifying an alternative entity of the availability of the resource
US20110282964 * 13. Mai 2010 17. Nov. 2011 Qualcomm Incorporated Delivery of targeted content related to a learned and predicted future behavior based on spatial, temporal, and user attributes and behavioral constraints
US20120102020 * 3. Jan. 2012 26. Apr. 2012 Mark Pearson Generating Search Result Listing with Anchor Text Based Description of Website Corresponding to Search Result
US20120123876 * 17. Nov. 2010 17. Mai 2012 Sreenivasa Prasad Sista Recommending and presenting advertisements on display pages over networks of communication devices and computers
US20150278376 * 30. Dez. 2014 1. Okt. 2015 Baidu (China) Co., Ltd. Method and apparatus for presenting search result
WO2011143625A2 * 13. Mai 2011 17. Nov. 2011 Qualcomm Incorporated Delivery of targeted content related to a learned and predicted future behavior based on spatial, temporal, and user attributes and behavioral constraints
WO2011143625A3 * 13. Mai 2011 13. Juni 2013 Qualcomm Incorporated Targeted content related to a learned and predicted future on spatial, temporal, and attributes and behavioral constraints
US-Klassifikation 705/14.49, 709/217, 707/944, 705/14.54, 707/731
Internationale Klassifikation G06Q30/02, G06F7/00, G06F, G06F17/30
Unternehmensklassifikation G06Q30/0263, G06Q30/0256, G06Q30/0242, G06F17/30864, G06Q30/0251, Y10S707/944, G06Q30/02, G06F17/30705
Europäische Klassifikation G06Q30/02, G06Q30/0256, G06Q30/0251