[미국특허]
System and method for modeling relationships between entities
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G06F-017/30
G06F-007/00
출원번호
US-0059594
(2008-03-31)
등록번호
US-8271506
(2012-09-18)
발명자
/ 주소
Martinez, Ronald
Davis, Marc Eliot
Higgins, Christopher William
O'Sullivan, Joseph James
출원인 / 주소
Yahoo! Inc.
대리인 / 주소
DeCarlo, James J.
인용정보
피인용 횟수 :
13인용 특허 :
111
초록▼
The disclosure describes systems and methods for modeling relationships between entities on a network using data collected from a plurality of communication channels including social data, spatial data, temporal data and logical data within a W4 Network. The W4 Network personalizes and automates sor
The disclosure describes systems and methods for modeling relationships between entities on a network using data collected from a plurality of communication channels including social data, spatial data, temporal data and logical data within a W4 Network. The W4 Network personalizes and automates sorting, filtering and processing of W4COMN communications delivered or requested to be delivered using personalized value-based ranking and encoding of data, which is modeled from the point-of-view (POV) of any specific user, topic or node in the W4 Distributed graph. POV modeling supplies comparative value services to users which entails individuated data models to be aggregated and used in customization and personalization forecasting for each user and their associated data management needs.
대표청구항▼
1. A method comprising: identifying, using a computing device, a first real world entity (RWE) and a second RWE having at least one relationship, such that the at least one relationship is identified by analyzing social data, spatial data, temporal data and logical data available to a network and as
1. A method comprising: identifying, using a computing device, a first real world entity (RWE) and a second RWE having at least one relationship, such that the at least one relationship is identified by analyzing social data, spatial data, temporal data and logical data available to a network and associated with a plurality of RWEs;identifying, using the computing device, a first information object (IO) associated with the first RWE that defines a state of the first RWE, and a second information object associated with the first RWE that defines a state of a second RWE; andidentifying, using the computing device, a third information object associated with the second RWE that defines a state of the second RWE, and a fourth information object associated with the second RWE that defines a state of the first RWE, such that: in response to a request for state information about the first RWE from a perspective of the second RWE, analyzing, using the computing device, the fourth information object,in response to a request for state information about the second RWE from a perspective of the first RWE, analyzing, using the computing device, the second information object,in response to a request for state information about the first RWE from a perspective of the first RWE, analyzing, using the computing device, the first information object, andin response to a request for state information about the second RWE from a perspective of the second RWE, analyzing, using the computing device, the third information object. 2. The method of claim 1 further comprising: generating, using the computing device, an entity information object for each the analysis of the first, second, third and fourth information objects such that each generated entity information object defines a point-of-view (POV) relationship between each of the information objects associated with the first RWE and the second RWE. 3. The method of claim 2 further comprising storing, using the computing device, each POV relationship independently. 4. The method of claim 2 further comprising storing, using the computing device, each POV relationship based upon a respective perspective of the first RWE to the second RWE and the second RWE to the first RWE. 5. The method of claim 2 further comprising identifying the POV relationship as explicit if the POV relationship between the first RWE and the second RWE is based upon an explicit declaration of the POV relationship by at least one of the first RWE and the second RWE. 6. The method of claim 2 further comprising identifying, using the computing device, the POV relationship as implicit if determined based on modeling of known interactions between the first RWE and the second RWE. 7. The method of claim 6 such that the modeling comprises a probability analysis of data contained in electronic communications between the first RWE and the second RWE. 8. The method of claim 6 such that the modeling comprises analysis of content of electronic communications between the first RWE and the second RWE. 9. The method of claim 6 further comprising determining, using the computing device, the implicit POV relationship based upon stored social data, spatial data, temporal data and logical data of the first RWE and the second RWE and the information objects associated with the first RWE and second RWE. 10. The method of claim 2 such that the entity information objects represent the first RWE and the second RWE, the entity information objects comprise corresponding descriptors and identifiers for the first RWE and the second RWE. 11. A computer-readable storage medium for tangibly storing thereon computer readable instructions for a method comprising: identifying, using a computing device, a first real world entity (RWE) and a second RWE having at least one relationship, such that the at least one relationship is identified by analyzing social data, spatial data, temporal data and logical data, available to a network, associated with a plurality of RWEs;identifying, using the computing device, a first information object (IO) associated with the first RWE that defines a state of the first RWE, and a second information object associated with the first RWE that defines a state of a second RWE; andidentifying, using the computing device, a third information object associated with the second RWE that defines a state of the second RWE, and a fourth information object associated with the second RWE that defines a state of the first RWE, such that: in response to a request for state information about the first RWE from a perspective of the second RWE, analyzing, using the computing device, the fourth information object,in response to a request for state information about the second RWE from a perspective of the first RWE, analyzing, using the computing device, the second information object,in response to a request for state information about the first RWE from a perspective of the first RWE, analyzing, using the computing device, the first information object, andin response to a request for state information about the second RWE from a perspective of the second RWE, analyzing, using the computing device, the third information object; andgenerating, using the computing device, an entity information object for each analysis of the information objects with respect to the first RWE state information and the second RWE state information, and such that each generated entity information object defines a point-of-view (POV) relationship between each of the information objects associated with the first RWE and the second RWE. 12. The computer-readable storage medium of claim 11 further comprising storing, using the computing device, the defined POV relationship based upon a respective perspective of the first RWE to the second RWE and the second RWE to the first RWE. 13. The computer-readable storage medium of claim 11 further comprising identifying, using the computing device, the POV relationship as explicit if the POV relationship between the first RWE and the second RWE is based upon identified correlations between the first RWE and the second RWE. 14. The computer-readable of claim 11 further comprising identifying, using the computing device, the POV relationship as implicit if determined based on modeling of known interactions between the first RWE and the second RWE. 15. The computer-readable medium of claim 14 further comprising: determining, using the computing device, the implicit POV relationship based upon stored social data, spatial data, temporal data and logical data of the first RWE and the second RWE and the information objects associated with the first RWE and second RWE. 16. The computer-readable storage medium of claim 11 such that the entity information objects represent the first RWE and the second RWE, the entity information objects comprise corresponding descriptors and identifiers for the first RWE and the second RWE. 17. A computing device comprising: a processor;at least one communication channel connected to the processor, the at least one communication channel further connected to a plurality of computing devices transmitting a plurality of information objects (IOs) over the at least one communication channel to the processor, the plurality of IOs comprising social data, spatial data, temporal data and logical data relating to a plurality of real-world entities (RWEs);a storage medium for tangibly storing thereon program logic for execution by the processor, the program logic comprising: correlation logic executed by the processor for correlating associations between the plurality of IOs and the plurality of RWEs based upon analysis of social data, spatial data, temporal data and logical data associated with the plurality of IOs and the plurality of RWEs; andrelationship identification logic executed by the processor for identifing POV relationships between the RWEs based upon the correlations made by the correlation logic. 18. The computing device of claim 17 such that the relationship identification logic further comprises logic for generating an entity IO for the relationships of the RWEs, and such that each generated entity IO defines the POV relationships between the RWEs. 19. The computing device of claim 17 such that the relationship identification logic further comprises logic for storing information in the appropriate IOs that represent RWEs associated with the relationship upon determination that at least one of the POV relationships exist. 20. The computing device of claim 17 such that the relationship identification logic further comprises logic for identifying the POV relationships as explicit if the POV relationships between the RWEs are based upon identified correlations between the RWEs. 21. The computing device of claim 17 such that the relationship identification logic further comprises logic for identifying the POV relationships as implicit if determined based on modeling of known interactions between the RWEs. 22. The computing device of claim 17 such that the analysis of extracted social data, spatial data, temporal data and logical data comprises creating a combined graph of combinations of the plurality of RWEs and the IOs and their respective attributes and relationships. 23. A method comprising: retrieving, via the network, social data, spatial data, temporal data and logical data available to the network associated with the a plurality of real world entities (RWEs);graphing, using a computing device, the social data, spatial data, temporal data and logical data to identify a plurality of relationships between the plurality of RWEs;identifying, using the computing device, a first subset of the plurality of relationships, such that each of the first subset of the plurality of relationships is a point of view relationship between one of the plurality of RWEs and one other of the plurality of RWEs, such that the respective relationship was explicitly defined by the one of the plurality of RWEs;identifying, using the computing device, a second subset of the plurality of relationships, such that each of the second subset of the plurality of relationships is a point of view relationship between one of the plurality of RWEs and one other of the plurality of RWEs, such that the respective relationship is identified by estimating a respective probability that the one of the plurality of RWEs and the one other of the plurality of RWEs have the respective relationship using the social data, spatial data, temporal data and logical data; andstoring, using the computing device, the first subset of the plurality of relationships and the second subset of the plurality of relationships on a computer readable medium.
Deligne Sabine ; Sagisaka Yoshinori,JPX ; Nakajima Hideharu,JPX, Apparatus for generating a statistical sequence model called class bi-multigram model with bigram dependencies assumed between adjacent sequences.
Nair, Rahul; Higgins, Christopher W.; Davis, Marc E.; O'Sullivan, Joseph J.; Paretti, Christopher T., Bandwidth and cost management for ad hoc networks.
Stolorz, Paul E.; Salmon, John K.; Warren, Michael S.; Koller, Jeffrey G.; Hagberg, Aric; Yevmenkin, Maksim; Brady, Mark; Pfitzner, David; Middleton, Ted, Configurable adaptive global traffic control and management.
Biebesheimer, Debra L.; Jasura, Donn P.; Keller, Neal M.; Oblinger, Daniel A.; Podlaseck, Mark E.; Rolando, Stephen J., Customer self service system for resource search and selection.
Shingo Nishioka JP; Makoto Iwayama JP; Kazuhiro Ono JP; Akihiko Takano JP; Yoshiki Niwa JP; Atsuko Yamaguchi JP, Document retrieval assisting method and system for the same and document retrieval service using the same.
Horvitz Eric ; Breese John S. ; Heckerman David E. ; Hobson Samuel D. ; Hovel David O. ; Klein Adrian C. ; Rommelse Jacobus A.,NLX ; Shaw Gregory L., Intelligent user assistance facility.
Bennett, Ian M.; Babu, Bandi Ramesh; Morkhandikar, Kishor; Gururaj, Pallaki, Interactive speech based learning/training system formulating search queries based on natural language parsing of recognized user queries.
Bassett,Ronald W.; Beadle,Bruce A.; Brown,Michael Wayne; Doud,Leon P.; Paolini,Michael A., Method and apparatus for dynamic distribution of controlled and additional selective overlays in a streaming media.
Atcheson John (San Francisco CA) Miller ; III James R. (Stanford CA), Method and apparatus for recommending selections based on preferences in a multi-user system.
Brandenberg, Carl Brock; Kay, Robert L.; Maxwell, Kenneth J.; Cotter, R. Brandon, Method and apparatus for scheduling presentation of digital content on a personal communication device.
Makar, Michael G.; Mosley, Joseph M.; Tindall, Tracy A., Method and system for filtering messages based on a user profile and an informational processing system event.
Bates, Cary Lee; Crenshaw, Robert James; Day, Paul Reuben; Santosuosso, John Matthew, Method for resolving meeting conflicts within an electronic calendar application.
Gabai, Oz; Gabai, Jacob; Sanlerman, Nimrod; Weiss, Nathan, Methods and apparatus for integration of interactive toys with interactive television and cellular communication systems.
Beall Christopher W. ; Motycka John D. ; Pendleton Samuel S. ; Terpening Brooke E. ; Appelbaum Matthew A. ; Neal Michael R., Search engine for remote access to database management systems.
Theimer Marvin M. (Mountain View CA) Spreitzer Michael J. (Tracy CA) Weiser Mark D. (Palo Alto CA) Goldstein Richard J. (San Francisco CA) Terry Douglas B. (San Carlos CA) Schilit William N. (Palo Al, Selective delivery of electronic messages in a multiple computer system based on context and environment of a user.
Langseth, Justin; Talwar, Ajay; Fishman, Phillippa J., System and method for a subject-based channel distribution of automatic, real-time delivery of personalized informational and transactional data.
Shimizu,Atsushi; Masuda,Kiyoshi; Yamato,Masaki; Ando,Tanichi; Oyagi,Masayuki, System and method for accepting information from information providers, mediating the received information, and providing mediated information to information beneficiaries.
Langseth, Justin; Talwar, Ajay; Fishman, Phillippa J., System and method for automatic, real-time delivery of personalized informational and transactional data to users via content delivery device.
Chidlovskii Boris,FRX ; Glance Natalie S.,FRX ; Grasso Antonietta,FRX, System and method for collaborative ranking of search results employing user and group profiles derived from document collection content analysis.
Davis, Marc Eliot; O'Sullivan, Joseph James; Higgins, Christopher William; Saft, Keith David; Hayashi, Nathanael Joe; Boerries, Marco; Callan, Paul; Wroblewski, Luke, System and method for delivery of augmented messages.
Langseth, Justin; Talwar, Ajay; Fishman, Phillippa J., System and method for information warehousing supporting the automatic, real-time delivery of personalized informational and transactional data to users via content delivery device.
Cherveny Kevin ; Crane Aaron ; Kaplan Lawrence M. ; Jasper John ; Shields Russell, System and method for updating, enhancing or refining a geographic database using feedback.
Cherveny, Kevin; Crane, Aaron; Kaplan, Lawrence M.; Jasper, John; Shields, Russel, System and method for updating, enhancing, or refining a geographic database using feedback.
Kaplan Craig A. (Santa Cruz CA) Chen James R. (Saratoga CA) Fallside David C. (San Jose CA) Fenwick Justine R. (Santa Cruz CA) Forcier Mitchell D. (Walnut Creek CA) Wolff Gregory J. (Mountain View CA, System for adjusting hypertext links with weighed user goals and activities.
Richardson-Bunbury, David; Riise, Soren; Patel, Devesh; Stipp, Eugene H.; Grealish, Paul J., System for determining probable meanings of inputted words.
Herz Frederick S. M. ; Eisner Jason M. ; Ungar Lyle H., System for generation of object profiles for a system for customized electronic identification of desirable objects.
Abrams,Jonathan H., System, method and apparatus for connecting users in an online computer system based on their relationships within social networks.
Shear Victor H. ; Van Wie David M. ; Weber Robert P., Systems and methods for matching, selecting, narrowcasting, and/or classifying based on rights management and/or other information.
Steinberg,Robert M.; Yurman,Ronald M.; Rosenberg,Jeremy C.; McGonigal,Daniel L.; Feras,John; DelBeccaro,David J.; Farber,Stuart H., Systems and methods for providing a broadcast entertainment service and an on-demand entertainment service.
Thompson, J. Patrick, Systems and methods for the implementation of a core schema for providing a top-level structure for organizing units of information manageable by a hardware/software interface system.
Adibi, Jafar; Fullman, Edward; Fullman, Joseph; Robertson, Patrick; Fullman, Elena; Ettelaie, Emil; Kwon, Namhee, Methods and systems for transforming multiple data streams into social scoring and intelligence on individuals and groups.
Higgins, Christopher W.; Paretti, Christopher T.; Ghezzi, Nicola Stefano; Spiegelman, Michael; Martinez, Ronald; Davis, Marc; Kalaboukis, Chris, System and method for presentation of media related to a context.
Higgins, Christopher W.; Paretti, Christopher T.; Ghezzi, Nicola Stefano; Spiegelman, Michael; Martinez, Ronald; Davis, Marc; Kalaboukis, Chris, System and method for presentation of media related to a context.
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