计算机科学 ›› 2015, Vol. 42 ›› Issue (10): 232-234.

• 人工智能 • 上一篇    下一篇

一种基于用户网络签到行为的地点推荐方法

周而重,黄佳进,徐欣欣   

  1. 北京工业大学国际WIC研究院 北京100124,北京工业大学国际WIC研究院 北京100124,北京工业大学材料科学与工程学院 北京100124
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金项目(61420106005)资助

Approach to Place Recommendation Based on User Check-in Behavior in Online Network

ZHOU Er-zhong, HUANG Jia-jin and XU Xin-xin   

  • Online:2018-11-14 Published:2018-11-14

摘要: 基于位置的地点推荐服务日益强调用户的个性化需求。对此,可通过社交网站上用户与其好友之间、用户与签到地点以及地点与地点之间的关联,来从用户的网络签到行为中总结出用户的出行特点,从而提出一种基于用户网络签到行为的个性化地点推荐方法。该方法通过融合用户对地点的个人偏好程度、地点自身属性对用户的影响程度以及用户好友对地点的推荐程度,来筛选出候选地点中满足用户个性化需求的地点。实验结果验证了该方法在一定场景下的可行性和有效性。

关键词: 地点推荐,个人偏好,地点影响力,好友推荐

Abstract: The location-based service for place recommendation pays more attention to the user’s personalized need.Hence,the characteristics of user trip were extracted through the links between entities in online social network,such as the social tie between users,interaction between users and places,and proximity between places.An approach to persona-lized place recommendation based on user check-in behavior in online social network was consequently proposed.The approach ranks the candidate places to meet user’s personalized need by combining the user preference to the place,influence of the place on the target user,and social recommendation from user’s friends.Experimental results show that the proposed approach is feasible and effective in a given context.

Key words: Place recommendation,User preference,Influence of place,Friend recommendation

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