POI recommendation by incorporating trust-distrust relationship in LBSN
POI (point of interest) recommendation is an important personalized service in the LBSN (location-based social network) which has wide applications such as popular sights recommendation and travel routes planning.Most existing collaborative filter algorithms make recommendation according to user sim...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2018-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018117/ |
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| _version_ | 1841539421687513088 |
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| author | Jinghua ZHU Qian MING |
| author_facet | Jinghua ZHU Qian MING |
| author_sort | Jinghua ZHU |
| collection | DOAJ |
| description | POI (point of interest) recommendation is an important personalized service in the LBSN (location-based social network) which has wide applications such as popular sights recommendation and travel routes planning.Most existing collaborative filter algorithms make recommendation according to user similarity and location similarity,they don’t consider the trust relationship between users.And trust relationship is helpful to improve recommendation accuracy,robustness and user satisfaction.Firstly,the propagation property of trust and distrust relationship was analyzed.Then,the measurement and computation method of trust were given.Finally,a hybrid recommendation system which combined user similarity,geographical location similarity and trust relationship was proposed.The experiments results show that the hybrid recommendation is obviously superior to the traditional collaborative filtering in terms of results accuracy and user satisfaction. |
| format | Article |
| id | doaj-art-547b25f3b68c4c9eaeea1a468c8a8d36 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2018-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-547b25f3b68c4c9eaeea1a468c8a8d362025-01-14T07:15:10ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-07-013915716559719565POI recommendation by incorporating trust-distrust relationship in LBSNJinghua ZHUQian MINGPOI (point of interest) recommendation is an important personalized service in the LBSN (location-based social network) which has wide applications such as popular sights recommendation and travel routes planning.Most existing collaborative filter algorithms make recommendation according to user similarity and location similarity,they don’t consider the trust relationship between users.And trust relationship is helpful to improve recommendation accuracy,robustness and user satisfaction.Firstly,the propagation property of trust and distrust relationship was analyzed.Then,the measurement and computation method of trust were given.Finally,a hybrid recommendation system which combined user similarity,geographical location similarity and trust relationship was proposed.The experiments results show that the hybrid recommendation is obviously superior to the traditional collaborative filtering in terms of results accuracy and user satisfaction.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018117/LBSNPOI recommendationcollaborative filteringtrust relationship |
| spellingShingle | Jinghua ZHU Qian MING POI recommendation by incorporating trust-distrust relationship in LBSN Tongxin xuebao LBSN POI recommendation collaborative filtering trust relationship |
| title | POI recommendation by incorporating trust-distrust relationship in LBSN |
| title_full | POI recommendation by incorporating trust-distrust relationship in LBSN |
| title_fullStr | POI recommendation by incorporating trust-distrust relationship in LBSN |
| title_full_unstemmed | POI recommendation by incorporating trust-distrust relationship in LBSN |
| title_short | POI recommendation by incorporating trust-distrust relationship in LBSN |
| title_sort | poi recommendation by incorporating trust distrust relationship in lbsn |
| topic | LBSN POI recommendation collaborative filtering trust relationship |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018117/ |
| work_keys_str_mv | AT jinghuazhu poirecommendationbyincorporatingtrustdistrustrelationshipinlbsn AT qianming poirecommendationbyincorporatingtrustdistrustrelationshipinlbsn |