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User-Schedule-based Web Page Recommendation

By: Mine, T.; Nagata, H.; Kuramoto, S.; Oishi, T.; Koshimura, M.; Fujita, H.; Hasegawa, R.;

2007 / IEEE / 0-7695-3026-5


This item was taken from the IEEE Conference ' User-Schedule-based Web Page Recommendation ' In web retrieval, it is often the case that the results given by search engines are not just what we want. To solve this problem there have been many studies on improving queries to be submitted to search engines. However, they are still insufficient due to lack of consideration on time information. To remedy this we propose a user-schedule-based web page recommendation method. The method makes use of a user's schedule to make the recommendation suite to hidher requests. In addition, an algorithm for extracting related words is introduced as a key technique in this method. Some preliminary experiments show very promising results in recommending web pages relevant to users requests. We also confirmed that this algorithm outperforms a method using mutual information.