论文信息 - A subjective cum objective measure of Web search quality

A subjective cum objective measure of Web search quality

The importance of Web search engines cannot be emphasized any further. However, we do need to work out a comprehensive procedure for evaluating them. It is in this respect that the present work is put forward. We propose to combine the subjective as well as objective measures of Web search quality. For objective evaluation, we have resorted to the conventional vector space approach of information retrieval. For subjective evaluation, on the other hand, we watch the actions of the user on the search results presented before him in response to his query, and infer the feedback of the user there from. We show our results pertaining to 7 public search engines and 15 queries.

Rashid Ali | M.M.S. Beg

[1] Marc Najork,et al. Measuring Index Quality Using Random Walks on the Web , 1999, Comput. Networks.

[2] Marc Najork,et al. On near-uniform URL sampling , 2000, Comput. Networks.

[3] Longzhuang Li,et al. A new method for automatic performance comparison of search engines , 2004, World Wide Web.

[4] Michael McGill,et al. Introduction to Modern Information Retrieval , 1983 .

[5] Longzhuang Li,et al. Precision Evaluation of Search Engines , 2004, World Wide Web.

[6] Donna K. Harman,et al. Results and Challenges in Web Search Evaluation , 1999, Comput. Networks.

[7] Giles,et al. Searching the world wide Web , 1998, Science.

[8] M. F. Porter,et al. An algorithm for suffix stripping , 1997 .

[9] C. Lee Giles,et al. Accessibility of information on the web , 1999, Nature.

[10] W. Pirie. Spearman Rank Correlation Coefficient , 2006 .

[11] Steve Chien,et al. Approximating Aggregate Queries about Web Pages via Random Walks , 2000, VLDB.

[12] Andrei Z. Broder,et al. A Technique for Measuring the Relative Size and Overlap of Public Web Search Engines , 1998, Comput. Networks.