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摘要
To identify Web users'; interest shift on hierarchical structure websites, this paper present a new algorithm, which is used for adaptive website building and composed of two models based on exponential decay and Bayesian posterior probability respectively. Experiments based on a real Internet website show that the proposed algorithm can identify the user interests'; shift promptly, as well as satisfying personalized information demands. The proposed algorithm can thus be widely implemented on various websites such as online News and virtual communities.
- 出版日期2008
- 单位复旦大学
