基于位置社交网络和群组的地点推荐系统设计
首发时间:2017-12-20
摘要:随着移动互联网的发展,基于位置的社交网络(LBSN,location based social network)逐渐融入到了日常生活中,为了给用户提供更加优质的位置服务,地点推荐应运而生。不同于传统的推荐场景,位置社交网络中,用户的行为往往受到社交,位置等上下文因素因素影响,面对海量的用户,位置数据和签到日志数据,本文提出一种改进的的地点推荐系统设计方案,可以通过离线的特征提取和用户群组聚类,联合位置,社交等因素为用户提供快速准确的地点推荐列表。
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Design of Location Recommender System Based on LBSN and Groups
Abstract:With the development of mobile internet, LBSN(location based social network has played an important role in people\'s life. In order to provide users with better lcoation services, the location recommender service is neccessary. Different from the traditonal recommendation scenario, users in LBSN are often influenced by socail, geographical and other types of factors, In the face of masssive users, lcoations and check-in data, this paper present a design of a location recommender system, through feature extraction and groups clustering offline, a more accuracy recommednation list can be quickly provides by considering the socail relationship and geographical influence.
Keywords: location recommedation socail influence geographical influence group detecction system design
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