Computers Internet Searching Directories Volunteer-Edited DMOZ Research Papers
Evaluation of Search Services
3
Sites 3
By Paul Heymann, Georgia Koutrika, and Hector Garcia-Molina Dept. of Computer Science, Stanford University Stanford, CA, USA. The paper includes eleven experiments designed to evaluate different aspects of social bookmarking and their impact on web search, using del.icio.us bookmarking data, Yahoo! and AOL search data, and ODP data gathered between May and June of 2007.
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By Ziv Bar-Yossef and Maxim Gurevich. Technical report, August 2006. Two novel algorithms for random sampling are used to collect comparative statistics on the corpora of Google, MSN Search and Yahoo. ODP is used to create a test search engine and query pool.
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By Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury and David Grossman. Illinois Institute of Technology, USA. In: Proceedings of the twelfth international conference on Information and knowledge management, 2003. Evaluation of IR systems has always been difficult because of the need for manually assessed relevance judgments: large editor-driven taxonomies on the web make a new evaluation approach possible. ODP´s taxonomy is used to compare and contrast two methodologies.
[PDF]
By Ziv Bar-Yossef and Maxim Gurevich. Technical report, August 2006. Two novel algorithms for random sampling are used to collect comparative statistics on the corpora of Google, MSN Search and Yahoo. ODP is used to create a test search engine and query pool.
[PDF]
By Paul Heymann, Georgia Koutrika, and Hector Garcia-Molina Dept. of Computer Science, Stanford University Stanford, CA, USA. The paper includes eleven experiments designed to evaluate different aspects of social bookmarking and their impact on web search, using del.icio.us bookmarking data, Yahoo! and AOL search data, and ODP data gathered between May and June of 2007.
[PDF]
By Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury and David Grossman. Illinois Institute of Technology, USA. In: Proceedings of the twelfth international conference on Information and knowledge management, 2003. Evaluation of IR systems has always been difficult because of the need for manually assessed relevance judgments: large editor-driven taxonomies on the web make a new evaluation approach possible. ODP´s taxonomy is used to compare and contrast two methodologies.
[PDF]
