电信科学 ›› 2018, Vol. 34 ›› Issue (12): 71-83.doi: 10.11959/j.issn.1000-0801.2018306

• 综述 • 上一篇    下一篇

群组推荐分析与研究综述

吴云昌,刘柏嵩(),王洋洋,费晨杰   

  1. 宁波大学,浙江 宁波 315211
  • 修回日期:2018-08-22 出版日期:2018-12-01 发布日期:2019-01-02
  • 作者简介:吴云昌(1990-),男,宁波大学硕士生,主要研究方向为群组推荐与数据挖掘。|刘柏嵩(1971-),男,博士,宁波大学研究员、博士生导师、图书馆与信息中心主任,主要研究方向为知识工程与个性化推荐。|王洋洋(1988-),男,宁波大学图书馆与信息中心助理馆员,主要研究方向为知识工程与数据挖掘。|费晨杰(1992-),男,宁波大学硕士生,主要研究方向为数据挖掘与文本分析。
  • 基金资助:
    国家社会科学基金资助项目(15FTQ002)

Review of group recommendation analysis and research

Yunchang WU,Baisong LIU(),Yangyang WANG,Chenjie FEI   

  1. Ningbo University,Ningbo 315211,China
  • Revised:2018-08-22 Online:2018-12-01 Published:2019-01-02
  • Supported by:
    The National Social Science Fund of China(15FTQ002)

摘要:

随着大数据时代的到来,推荐系统的应用领域也愈发广泛,组推荐系统的推荐服务对象由单一用户扩展为群组成员,正成为推荐系统领域的研究热点之一。组推荐系统需要考虑所有群体成员的偏好,将各成员的偏好融合,缓解群组成员之间的偏好冲突,使推荐结果尽可能满足所有群组成员。主要对最近的组推荐的研究进展进行综述,分别对群组分类、群组发现、群组预测推荐的前沿进行总结,并概括了群组推荐的影响因素。最后,对组推荐的研究点及其展望分别进行阐述。

关键词: 群组推荐, 群组发现, 偏好融合, 群组建模, 推荐系统

Abstract:

With the advent of age of big data,the application fields of recommendation systems have become increasingly widespread.The recommendation service object of the group recommendation systems are expanded from a single user to a group of members,and becoming one of the research hotspots in the recommendation system fields.The group recommendation system needs to consider the preferences of all group members,and to fuse the preferences of the members,and to alleviate the conflicts of preferences among them,so that the recommendation results satisfy all group members as much as possible.The recent research progress of the group recommendation was mainly reviewed.The frontiers of group classification,group detection and group prediction recommendation were summarized.And main factors of the group recommendations were generalized.Finally,the research points of group recommendation and its prospects were separately elaborated.

Key words: group recommendation, group detection, preference aggregation, group modeling, recommendation system

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