Eric J. Glover
- 1 Barry, C.L. The Identification of User Criteria of Relevance and Document Characteristics: Beyond the Topical Approach to Information Retrieval. Ph.D. dissertation, Syracuse University, NY, 1993.Google Scholar
- 2 Gauch, S., Wang, G., and Gomez, M. ProFusion: Intelligent fusion from multiple, distributed search engines. Journal of Universal Computer Science 2, 9 (Sept. 1996).Google Scholar
- 3 Glover, E.J., Birmingham, W.P., and Gordon, M.D. Improving Web search using utility theory. In Web Information and Data Management (WIDM'98), Bethesda, MD, 1998,Google Scholar
- 4 Grossman, D.A. and Frieder, O. Information Retrieval: Algorithms and Heuristics. Kluwer Academic Publishers, 1998. Google ScholarDigital Library
- 5 Howe, A.E. and Dreilinger, D. SavvySearch: A metasearch engine that learns which search engines to query. AI Magazine 18, 2 (Feb. 1997).Google Scholar
- 6 Keeney, R.L. and Raiffa, H. Decisions with Multiple Objectives. Wiley, NY, 1976.Google Scholar
- 7 Kochen, M. Principles of Information Retrieval. Melville Publishing Company, Los Angeles, CA, 1974.Google Scholar
- 8 Lawrence, S. and Giles, C.L. Context and page analysis for improved Web search. IEEE Internet Computing, (July-=Aug. 1998), 38-46. Google ScholarDigital Library
- 9 Lawrence, S. and Giles, C.L. Accessibility of information on the Web. Nature 400 (July 8, 1999), 107-109.Google ScholarCross Ref
- 10 Mizzaro, S. Relevance: The whole history. Journal of the American Society for Information Science 48, 9 (Sept. 1997), 810-832. Google ScholarDigital Library
- 11 Nguyen, H. and Haddawy, P. The decision-theoretic video advisor. In AAAI Workshop on Recommender Systems, 1998.Google Scholar
- 12 Selberg, E. and Etzioni, O. The MetaCrawler architecture for resource aggregation on the Web. IEEE Expert, (Jan.-Feb. 1997), 11-14.Google Scholar
Index Terms
- Web Search---Your Way
Recommendations
Overlap Among Major Web Search Engines
ITNG '06: Proceedings of the Third International Conference on Information Technology: New GenerationsOur study examined the overlap among results retrieved by three major Web search engines for a large set of more than 10,316 queries. Previous smaller studies have discussed the lack of overlap in results returned by Web search engines for the same ...
A study of results overlap and uniqueness among major web search engines
The performance and capabilities of Web search engines is an important and significant area of research. Millions of people world wide use Web search engines very day. This paper reports the results of a major study examining the overlap among results ...
Optimizing web search using web click-through data
CIKM '04: Proceedings of the thirteenth ACM international conference on Information and knowledge managementThe performance of web search engines may often deteriorate due to the diversity and noisy information contained within web pages. User click-through data can be used to introduce more accurate description (metadata) for web pages, and to improve the ...
Comments