A Potential Friends Recommendation Model for Location-Based Social Network
To make service convenient and improve user experience degrees, recommendation service has become more and more important to users in the location-based social network（LBSN）. An improved potential friends recommendation in LBSN, which is based on the relationship among friends and the similarity of...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2014-10-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.10.012/ |
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| _version_ | 1841529313416970240 |
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| author | Xiaochen Sun Yabin Xu |
| author_facet | Xiaochen Sun Yabin Xu |
| author_sort | Xiaochen Sun |
| collection | DOAJ |
| description | To make service convenient and improve user experience degrees, recommendation service has become more and more important to users in the location-based social network（LBSN）. An improved potential friends recommendation in LBSN, which is based on the relationship among friends and the similarity of locations, was proposed. First of all, the user interest pointsin each position weight with friends' relationship, check-in feature and historical recordwere calculated. Then position weight and the friend relationship were used to calculate the friends' similarity and location similarity. Finally, potential friends to user based on the friends' similarity and location similarity were recommended. The experimental results show that the proposed model is effective. |
| format | Article |
| id | doaj-art-1c262e8f1f6f418fa3f9c1ccab9a6096 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2014-10-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-1c262e8f1f6f418fa3f9c1ccab9a60962025-01-15T03:18:44ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012014-10-0130717759618926A Potential Friends Recommendation Model for Location-Based Social NetworkXiaochen SunYabin XuTo make service convenient and improve user experience degrees, recommendation service has become more and more important to users in the location-based social network（LBSN）. An improved potential friends recommendation in LBSN, which is based on the relationship among friends and the similarity of locations, was proposed. First of all, the user interest pointsin each position weight with friends' relationship, check-in feature and historical recordwere calculated. Then position weight and the friend relationship were used to calculate the friends' similarity and location similarity. Finally, potential friends to user based on the friends' similarity and location similarity were recommended. The experimental results show that the proposed model is effective.http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.10.012/location-based serviceocation-based social networkpotential friendrecommendation modellocation similarity |
| spellingShingle | Xiaochen Sun Yabin Xu A Potential Friends Recommendation Model for Location-Based Social Network Dianxin kexue location-based service ocation-based social network potential friend recommendation model location similarity |
| title | A Potential Friends Recommendation Model for Location-Based Social Network |
| title_full | A Potential Friends Recommendation Model for Location-Based Social Network |
| title_fullStr | A Potential Friends Recommendation Model for Location-Based Social Network |
| title_full_unstemmed | A Potential Friends Recommendation Model for Location-Based Social Network |
| title_short | A Potential Friends Recommendation Model for Location-Based Social Network |
| title_sort | potential friends recommendation model for location based social network |
| topic | location-based service ocation-based social network potential friend recommendation model location similarity |
| url | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.10.012/ |
| work_keys_str_mv | AT xiaochensun apotentialfriendsrecommendationmodelforlocationbasedsocialnetwork AT yabinxu apotentialfriendsrecommendationmodelforlocationbasedsocialnetwork AT xiaochensun potentialfriendsrecommendationmodelforlocationbasedsocialnetwork AT yabinxu potentialfriendsrecommendationmodelforlocationbasedsocialnetwork |