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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Alexandridis, G. Siolas, G. Stafylopatis, A. |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Zografou, Greece (Alexandridis, G.; Siolas, G.; Stafylopatis, A.) |
| Abstract | In this paper, we focus on Recommender Systems that are enhanced with social information in the form of trust statements between their users. The trust information may be processed in a number of ways, including the random walks in the Social Graph, where every step in the walk is chosen almost uniformly at random from the available choices. Even though this strategy yields satisfactory results, it still does not fully exploit the similarity information among users and items. Our work tries to model user-to-user and user-to-item relation as a probability distribution using a novel approach based on Rejection Sampling in order to decide on its next step (biased random walk). Some initial results on reference datasets reveal the potential of this idea. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 648 |
| Ending Page | 652 |
| File Size | 112352 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781450322409 |
| DOI | 10.1145/2492517.2492653 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-08-25 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | ACM and IEEE |
| Subject Keyword | Measurement Correlation Social network services Conferences Collaboration Probability distribution Recommender systems |
| Content Type | Text |
| Resource Type | Article |
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