Collaborative filtering recommendation algorithm based on one-jump trust model
A collaborative filtering recommendation algorithm based on the trust network of social brings two problems that the choice of complex paths between nodes and the weak transfering of trust.Toward to these two problems,a one-jump trust model based on items was put forward,the model calculated the tru...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2015-06-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015130/ |
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| _version_ | 1841539674082902016 |
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| author | Xing-mao WANG Xing-ming ZHANG Jiang-xing WU |
| author_facet | Xing-mao WANG Xing-ming ZHANG Jiang-xing WU |
| author_sort | Xing-mao WANG |
| collection | DOAJ |
| description | A collaborative filtering recommendation algorithm based on the trust network of social brings two problems that the choice of complex paths between nodes and the weak transfering of trust.Toward to these two problems,a one-jump trust model based on items was put forward,the model calculated the trust between users and items,defined the consumer’s trust attribute vector of social and calculated the direct and indirect distance one-jump by items,and then calculated the trust between users.A collaborative filtering algorithm(OneJ-TCF) is degined based on the model,moreover analysed and reorganized the relation between trust and similarity.The experiments show that this algorithm improves the degree of accuracy(reducing about 0.02 MAE),and saves about 50% training time at the same time. |
| format | Article |
| id | doaj-art-9e3e698f03644878baae40e5270dea4d |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2015-06-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-9e3e698f03644878baae40e5270dea4d2025-01-14T06:46:38ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-06-013619320059693839Collaborative filtering recommendation algorithm based on one-jump trust modelXing-mao WANGXing-ming ZHANGJiang-xing WUA collaborative filtering recommendation algorithm based on the trust network of social brings two problems that the choice of complex paths between nodes and the weak transfering of trust.Toward to these two problems,a one-jump trust model based on items was put forward,the model calculated the trust between users and items,defined the consumer’s trust attribute vector of social and calculated the direct and indirect distance one-jump by items,and then calculated the trust between users.A collaborative filtering algorithm(OneJ-TCF) is degined based on the model,moreover analysed and reorganized the relation between trust and similarity.The experiments show that this algorithm improves the degree of accuracy(reducing about 0.02 MAE),and saves about 50% training time at the same time.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015130/recommendation algorithmone-jump trust modeltrust distancetrus |
| spellingShingle | Xing-mao WANG Xing-ming ZHANG Jiang-xing WU Collaborative filtering recommendation algorithm based on one-jump trust model Tongxin xuebao recommendation algorithm one-jump trust model trust distance trus |
| title | Collaborative filtering recommendation algorithm based on one-jump trust model |
| title_full | Collaborative filtering recommendation algorithm based on one-jump trust model |
| title_fullStr | Collaborative filtering recommendation algorithm based on one-jump trust model |
| title_full_unstemmed | Collaborative filtering recommendation algorithm based on one-jump trust model |
| title_short | Collaborative filtering recommendation algorithm based on one-jump trust model |
| title_sort | collaborative filtering recommendation algorithm based on one jump trust model |
| topic | recommendation algorithm one-jump trust model trust distance trus |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015130/ |
| work_keys_str_mv | AT xingmaowang collaborativefilteringrecommendationalgorithmbasedononejumptrustmodel AT xingmingzhang collaborativefilteringrecommendationalgorithmbasedononejumptrustmodel AT jiangxingwu collaborativefilteringrecommendationalgorithmbasedononejumptrustmodel |