Analyses of multiple evidence combination
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
Web Usage Mining as a Tool for Personalization: A Survey
User Modeling and User-Adapted Interaction
Combining the language model and inference network approaches to retrieval
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Log-based indexing to improve web site search
Proceedings of the 2007 ACM symposium on Applied computing
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Despite the success of global search engines, web site search is still problematic in its retrieval accuracy. In this study, we propose to extract terms based on users' access histories to build web page representations, and then use multiple evidence combination to combine these log-based terms with text-based and anchor-based terms. We test different combination approaches and baseline retrieval models. Our experimental results show that the server log, when used in multiple evidence combination, can improve the effectiveness of the web site search, whereas the impact on different models is different.