Trust expansion and listwise learning-to-rank based service recommendation method
In view of the problem of trust relationship in traditional trust-based service recommendation algorithm,and the inaccuracy of service recommendation list obtained by sorting the predicted QoS,a trust expansion and listwise learning-to-rank based service recommendation method (TELSR) was proposed.Th...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2018-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018007/ |
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| _version_ | 1841539457060175872 |
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| author | Chen FANG Hengwei ZHANG Ming ZHANG Jindong WANG |
| author_facet | Chen FANG Hengwei ZHANG Ming ZHANG Jindong WANG |
| author_sort | Chen FANG |
| collection | DOAJ |
| description | In view of the problem of trust relationship in traditional trust-based service recommendation algorithm,and the inaccuracy of service recommendation list obtained by sorting the predicted QoS,a trust expansion and listwise learning-to-rank based service recommendation method (TELSR) was proposed.The probabilistic user similarity computation method was proposed after analyzing the importance of service sorting information,in order to further improve the accuracy of similarity computation.The trust expansion model was presented to solve the sparseness of trust relationship,and then the trusted neighbor set construction algorithm was proposed by combining with the user similarity.Based on the trusted neighbor set,the listwise learning-to-rank algorithm was proposed to train an optimal ranking model.Simulation experiments show that TELSR not only has high recommendation accuracy,but also can resist attacks from malicious users. |
| format | Article |
| id | doaj-art-c589dc54efd743baa46eaa08081f8baf |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2018-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-c589dc54efd743baa46eaa08081f8baf2025-01-14T07:14:10ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-01-013914715859716126Trust expansion and listwise learning-to-rank based service recommendation methodChen FANGHengwei ZHANGMing ZHANGJindong WANGIn view of the problem of trust relationship in traditional trust-based service recommendation algorithm,and the inaccuracy of service recommendation list obtained by sorting the predicted QoS,a trust expansion and listwise learning-to-rank based service recommendation method (TELSR) was proposed.The probabilistic user similarity computation method was proposed after analyzing the importance of service sorting information,in order to further improve the accuracy of similarity computation.The trust expansion model was presented to solve the sparseness of trust relationship,and then the trusted neighbor set construction algorithm was proposed by combining with the user similarity.Based on the trusted neighbor set,the listwise learning-to-rank algorithm was proposed to train an optimal ranking model.Simulation experiments show that TELSR not only has high recommendation accuracy,but also can resist attacks from malicious users.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018007/service recommendationlearning-to-rankprobabilistic user similaritytrust relationship |
| spellingShingle | Chen FANG Hengwei ZHANG Ming ZHANG Jindong WANG Trust expansion and listwise learning-to-rank based service recommendation method Tongxin xuebao service recommendation learning-to-rank probabilistic user similarity trust relationship |
| title | Trust expansion and listwise learning-to-rank based service recommendation method |
| title_full | Trust expansion and listwise learning-to-rank based service recommendation method |
| title_fullStr | Trust expansion and listwise learning-to-rank based service recommendation method |
| title_full_unstemmed | Trust expansion and listwise learning-to-rank based service recommendation method |
| title_short | Trust expansion and listwise learning-to-rank based service recommendation method |
| title_sort | trust expansion and listwise learning to rank based service recommendation method |
| topic | service recommendation learning-to-rank probabilistic user similarity trust relationship |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018007/ |
| work_keys_str_mv | AT chenfang trustexpansionandlistwiselearningtorankbasedservicerecommendationmethod AT hengweizhang trustexpansionandlistwiselearningtorankbasedservicerecommendationmethod AT mingzhang trustexpansionandlistwiselearningtorankbasedservicerecommendationmethod AT jindongwang trustexpansionandlistwiselearningtorankbasedservicerecommendationmethod |