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Optimizing Web Search Using Spreading Activation on the Clickthrough Data
[chapter]
2004
Lecture Notes in Computer Science
In this paper, we propose a mining algorithm to utilize the user clickthrough data to improve search performance. The algorithm first explores the relationship between queries and Web pages and mine out co-visiting relationship as the virtual link among the Web pages, and then Spreading Activation mechanism is used to perform the query-dependent search. Our approach could overcome the challenges discussed above and the experimental results on a large set of MSN click-through log data show a
doi:10.1007/978-3-540-30480-7_42
fatcat:sx3ugu3fpzdyje3ybqcgl7ciba