Abstract
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.
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Ding, C., Zhou, J. (2007). Multiple Evidence Combination in Web Site Search Based on Users’ Access Histories. In: Conati, C., McCoy, K., Paliouras, G. (eds) User Modeling 2007. UM 2007. Lecture Notes in Computer Science(), vol 4511. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73078-1_54
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DOI: https://doi.org/10.1007/978-3-540-73078-1_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73077-4
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