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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fang Weidong Dong Shoubin |
| Copyright Year | 2006 |
| Description | Author affiliation: Network Eng. & Res. Center, South China Univ. of Technol., Guangzhou (Fang Weidong; Dong Shoubin) |
| Abstract | Collaborative information filtering tends to be a promising technology in the fight again Internet spam, and the peer-to-peer framework is believed to be more suitable to implement this collaboration compared to centralized ones. However, the assumption of uniform information interests across peers in collaborative filtering limits the improvement in filtering accuracy and increases network traffic unnecessarily. To address this problem, we propose to construct multiple interest groups for a peer, each corresponding to one message category; and to use a percolation search algorithm to retrieve message feedbacks in scale-free email networks. Experiments show the proposed model can get remarkable improvement in false positive reduction and good performance in spam feedback retrieval |
| Starting Page | 163 |
| Ending Page | 169 |
| File Size | 278151 |
| Page Count | 7 |
| File Format | |
| ISBN | 0769526950 |
| DOI | 10.1109/GCCW.2006.16 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Military computing Peer to peer computing Feedback Collaboration Unsolicited electronic mail Telecommunication traffic Traffic control Information filters Collaborative work Information filtering |
| Content Type | Text |
| Resource Type | Article |
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