Ranking Function Optimization for Effective Web Search by Genetic Programming: An Empirical Study

Topics:
Electrical and Electronic
Tags:
Channel Management,
IEEE,
Internet Search,
Marketing,
Optimization,
Programming,
Web
Source:
Institute of Electrical and Electronics Engineers

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Overview: This white paper document reports the experience of applying Genetic Programming (GP) to the ranking function discovery problem leveraging the structural information of HTML documents. The paper also reveals that the empirical experiments using the web track data from recent TREC conferences shows that it is possible to discover better ranking functions than existing well-known ranking strategies from IR, such as Okapi, Pt.df. The performance is even comparable to those obtained by Support Vector Machine.

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Format: PDF | Size: 135KB | Date: Dec 2003 | Pages: 8

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