User intent discovery

Details User intent discovery User intent discovery

2007-01-02

2007-01-02

Kindred, Alford W. (Department: 2163)

Data processing: database and file management or data structures

Database design

Data structure types

C707S793000, C707S793000

Reexamination Certificate

active

10796378

ABSTRACT:
a system100that facilitates determining a user's intent given a user search query comprises a search engine that is employed to search over a collection of objects within a data store to retrieve a user search result set. The objects within the result set are associated with queries that were previously utilized to locate such objects. A level of relatedness between the previous queries and the user search query is determined, and previous queries that are associated with a result set that is novel and related to the user search result set are returned to the user.

REFERENCES:
patent: 6289353 (2001-09-01), Hazlehurst et al.
patent: 6732088 (2004-05-01), Glance
patent: 2002/0052674 (2002-05-01), Chang et al.
patent: 2003/0101286 (2003-05-01), Kolluri et al.
patent: 2003/0135495 (2003-07-01), Vagnozzi
patent: 2005/0102259 (2005-05-01), Kapur
Bodo Billerbeck, et al., Query Expansion using Associated Queries, Proceedings of the twelfth international conference on Information and knowledge management, 2003, pp. 2-9, New Orleans, Louisiana, USA.
Andrei Broder, A Taxonomy of web search, IBM Research, 2002, 8 pages.
Susan Dumais, et al., Optimizing Search by Showing Results in Context, SIGCHI'01, 2001, pp. 277-284, Seattle, Washington, USA.
Susan Dumais, et al., Hierarchical Classification of Web Content, SIGIR 2000, 2000, pp. 256-263, Athens, Greece.
Doug Beeferman, et al., Agglomerative clustering of a search engine query log, KDD 2000, 2000, pp. 407-416, Boston, Massachusetts, USA.
Anton Leuski, et al., Details of Lighthouse, University of Massachusetts, 2000, pp. 1-15, Amherst, Massachusetts, USA.
Oren Zamir, et al., Grouper: A Dynamic Clustering Interface to Web Search Results, University of Washington, 1999, 15 pages, Seattle, Washington, USA.
Jaime Carbonell, et al., The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries, SIGIR'98, 1998, pp. 335-336, Melbourne, Australia.
Sergey Brin et al., The Anatomy of a Large-Scale Hypertextual Web Search Engine, Stanford University, 1998, pp. 1-18.
European Search Report dated Mar. 8, 2006 mailed Mar. 16, 2006 for European Patent Application Serial No. 05101639, 4 Pages.
Glance N S ED—Lester J C (ED) Association for Computing Machinery: “Community Search Assistant” 2001 International Conference on Intelligent User Interfaces. IUI 2001. Santa Fe, NM, Jan. 14-17, 2001, Annual International Conference on Intelligent User Interfaces, New York, NY: ACM, US, 2001.
L Fitzpatrick and Dent M ED—Belkin N J et al Association for Computing Machinery: “Automatic Feedback Using Past Queries: Social Searching?” Proceedings of the 20th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval. Philidelphia, PA, Jul. 27-31, 1997, Annual International ACM-SIGIR Conference on Research and Development in Information Retriev, 1997.
V V Raghavan, et al., Association for Computing Machinery: “On the Reuse of Past Optimal Queries” SIGIR '95. Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Seattle, Jul. 9-13, 1995, SIGIR. Proceedings of the Annual International ACM SIGIR Conference on Research and Develo, Jul. 9, 1995.
U Nambiar et al.: “Answering Imprecise Database Queries: A Novel Approach” WIDM' 03, New Orleans, Louisiana, USA, Nov. 7, 2003.
B D Davison, et al.: “Finding relevant Website Queries” WWW2003, Twelfth International World Wide Web Conference, May 20, 2003.
W W Chu et al.: “Association query answering via query feature similarity” Intelligent Information Systems, 1997. IIS '97. Proceedings Grand Bahama Island, Bahamas Dec. 8-10, 1997, Los Alamitos, CA, USA, IEEE Comput. Soc, US, Dec. 8, 1997.
V Menkov et al: “Antworld: A Collaborative Web Search Tool” Internet Citation, Feb. 18, 2001.

Affiliated with

Also associated with

Rating

User intent discovery does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with User intent discovery, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and User intent discovery will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3766488