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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dongmin Shin Jae-won Lee Jongheum Yeon Sang-goo Lee |
| Copyright Year | 2009 |
| Abstract | Traditional recommendation approaches do not consider the changes of user preferences according to context. As a result, these approaches consider the user’s overall preferences, although the user preferences on items varies according to his/her context. However, in our context-aware approach, we take into account not only user preferences, but also context information. Our approach can be easily adopted for content-based and collaborative filtering based recommendations. To exploit raw context information in recommendation, we abstract the raw context information to a concept level. Moreover, by aggregating the context information, we can improve the quality of recommendation. The results of several experiments show that our method is more precise than the traditional recommendation approaches. |
| Starting Page | 423 |
| Ending Page | 430 |
| File Size | 536546 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780769537559 |
| ISSN | 15301354 |
| DOI | 10.1109/CEC.2009.38 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-20 |
| Publisher Place | Austria |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Context-aware services Filtering Context-awareness Recommendation Information analysis Computer science Aggregation Extrapolation Collaboration Fuzzy set theory ODP Large-scale systems Joining processes Business |
| Content Type | Text |
| Resource Type | Article |
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