Entity-specific tuned searching

Details Entity-specific tuned searching Entity-specific tuned searching

2004-12-07

2010-06-15

Robinson, Greta L (Department: 2169)

Data processing: database and file management or data structures

Database and file access

Post processing of search results

Reexamination Certificate

active

07739270

ABSTRACT:
The present invention leverages relevance data to provide enhanced search query results based on relevancy to a specific entity via an entity-specific tunable search. This allows an entity to retrieve information that is of more value to that entity, in a faster and more efficient manner. The entity itself can be an individual user, a grouping of users, and/or an enterprise and the like. In one instance of the present invention, entity-specific relevance information is determined via employment of similarity of the entity to another entity or group of entities. Interest levels and/or satisfaction levels of similar entities can also be utilized along with similarity information to facilitate in deriving the relevance information.

REFERENCES:
patent: 5780286 (1998-07-01), Dillon et al.
patent: 6012053 (2000-01-01), Pant et al.
patent: 6185558 (2001-02-01), Bowman et al.
patent: 6363377 (2002-03-01), Kravets et al.
patent: 6473752 (2002-10-01), Fleming, III
patent: 6772150 (2004-08-01), Whitman et al.
patent: 2002/0147724 (2002-10-01), Fries et al.
patent: 2003/0014399 (2003-01-01), Hansen et al.
patent: 2004/0225643 (2004-11-01), Alpha et al.
patent: 2005/0055345 (2005-03-01), Ripley
patent: 2005/0080771 (2005-04-01), Fish
patent: 2006/0206467 (2006-09-01), Jackson et al.
patent: 1050830 (2000-11-01), None
patent: 2005033979 (2005-04-01), None
Cross et al., Similarity or Interference for Accessing Relevance in Information Retrieval, Dept. of Computer Science & Eng., South Carolina Univ., Columbia, SC, USA; Fuzzy Systems, 2001. The 10th IEEE International Conf. on, Dec. 2-5, 2001, pp. 1287-1290 vol. 3.
Widyantoro et al., Using Fuzzy Ontology for Query Refinement in Personalized Abstract Search Engine, IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th, vol. 1, Jul. 25-28, 2001, pp. 610-615 vol. 1, Digital Object Identifier 10.1109/NAFIPS.2001.944322.
Harlow and Lane Chapter 4, Immunization. In: Antibodies, A laboratory manual,Cold Spring Harbor Press, pp. 53-138 (1988).
Stein et al., Definition of “compose”, In:The Random House College Dictionary, p. 276 (1975).
Massimiliano Albanese, Antonio Picariello, Carlo Sansone, and Lucio Sansone. A Web personalization system based on Web usage mining techniques. In Proceedings of WWW, pp. 288-289, New York, NY, 2004.
David Goldberg, David Nichols, Brian M. Oki, and Douglas Terry. Using collaborative filtering to weave and information tapestry. Communications of the ACM, 35(12):61-70, 1992.
Kazunari Sugiyama, Kenji Hatano, and Masatoshi Yoshikawa. Adaptive Web search based on user profile constructed without any effort from users. In Proceedings of WWW, pp. 675-683, New York, NY, 2004.
D Beeferman and a Berger: “Agglomerative clustering of a search engine query log” Proceedings of The ACM SIGKDD. International Conference on Knowledge Discovery and Data Mining, ACM, US, 2000.
J R Wen et al.: “Clustering User Queries of a Search Engine” Intenational World Wide Web Conference, 2001.

Affiliated with

Also associated with

Rating

Entity-specific tuned searching does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Entity-specific tuned searching, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Entity-specific tuned searching will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-4192806