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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hochul Jeon Taehwan Kim Joongmin Choi |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Hanyang Univ., Seoul (Hochul Jeon; Taehwan Kim; Joongmin Choi) |
| Abstract | Many search engines such as Yahoo, Google, MSN, and AltaVista, are developed to meet users' needs, but they not satisfy the various users' needs in real world. In general, because of the lack of the personal information such as hobby, preference, and interest, these existing information retrieval systems are unsuitable to provide personalized search results to users. In this paper, we propose an adaptive user profile method using dynamic updating policy considering the change of the users' preferences over time and domain. Moreover, we will employ collaborative filtering method to apply the situation that users' preferences are frequently or continuously changed. The purpose of this paper is improvement of personalized search performance for each user through automatic creation, maintenance, and personalization of user preference profiles that include search pattern for each user. By using this user profile, our system can provide more personalized search results to users. |
| Starting Page | 836 |
| Ending Page | 841 |
| File Size | 351483 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769534077 |
| DOI | 10.1109/ICCIT.2008.111 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-11-11 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Filtering information retrieval Information retrieval Information technology Computer science personalization Pain Adaptive User Profiling Bayesian methods Neural networks Collaboration Search engines Portals |
| Content Type | Text |
| Resource Type | Article |
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