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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiangwei Mu Yan Chen Shuyong Liu |
| Copyright Year | 2010 |
| Description | Author affiliation: Transportation Management College, Dalian Maritime University, China, 116026 (Xiangwei Mu; Yan Chen; Shuyong Liu) |
| Abstract | With the fast development of World Wide Wed, Web-based applications and services should allow user to get the right personalized information quickly and effectively. Collaborative Filtering acts a very important role in web service personalization and Recommender System. In this paper, Stability Degree was proposed to improve the accuracy of collaboration filtering both based on item and user, kinds of Stability Degree were introduced into item and user similarity computation, and the results show that the prediction accuracy can be improved from 10 percents to 25 percents in different case, using this improved similarity algorithm, MAE can be also reduced faster than classic methods. |
| File Size | 568456 |
| File Format | |
| ISBN | 9781424465392 |
| ISSN | 21547491 |
| e-ISBN | 9781424465422 |
| DOI | 10.1109/ICACTE.2010.5579664 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Multiplexing Digital multimedia broadcasting collaborative filtering Transportation Information filters similarity computation recommend system stability degree personalized recommendation Data communication Communication standards Business |
| Content Type | Text |
| Resource Type | Article |
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