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Mining navigation history for recommendation (2000).
| Content Provider | CiteSeerX |
|---|---|
| Author | Jay, Xiaobin Fu Budzik, Jay Hammond, Kristian J. |
| Abstract | Although a user's navigation history contains a lot of hidden information about the relationship between web pages and between users, this information is usually not exploited. The information hidden in the history can be an invaluable source of knowledge in assisting a user to better surf the Web. We presented a system which actively monitors and tracks a user's navigation. Once a user's navigation history is captured, we apply data mining techniques to discover the hidden knowledge contained in the history. The knowledge is then used to suggest potentially interesting web pages to users. Keywords Data mining, Collaborative Information Recommendation, Intelligent User Interface. 1. MOTIVATION Although a user's navigation history contains a lot of hidden information about the relationship between web pages and between users, this information is usually not exploited. Some collaborative information recommending systems require users to rate a web page, store these ratings and make r... |
| File Format | |
| Publisher Date | 2000-01-01 |
| Access Restriction | Open |
| Subject Keyword | Navigation History Web Page Hidden Information Information Hidden Interesting Web Page Invaluable Source Hidden Knowledge Collaborative Information Recommendation Collaborative Information Intelligent User Interface Keywords Data Mining |
| Content Type | Text |
