摘要
认为群推荐是对群体用户进行个性化推荐的技术,群推荐的一个重要步骤就是聚集,即将针对个体的推荐项目聚集成对群体的推荐,或者将个体的偏好聚集成群体的模型,聚集策略就是在聚集时所采取的方式。通过文献的梳理,介绍群推荐的群体形成和生成推荐过程,比较聚集策略的类型和应用,对聚集中存在的尴尬和隐私问题、群成员间交互问题、成员间差异性问题和基于群成员社交影响力的策略进行详细阐述,并展望聚集策略尚需进一步研究的方面。
Group recommendation is a kind of personalization recommendation technology to group users. The aggregation is one important step for group recommendation, which is the model to aggregate recommendation items from individuals to groups or aggregate individual preference to group preference. The aggregation strategy is the implementation method to aggregate. By collecting and analyzing the literatures, this paper introduces the group formation and recommendation process, and compares types and applications of the aggregation strategy. Then it analyzes the dilemma and privacy problem, the interaction and diversity problem, and the social influence strategy. Finally, it prospects the further study on aggregation strategy.
出处
《图书情报工作》
CSSCI
北大核心
2013年第7期127-133,88,共8页
Library and Information Service
关键词
个性化推荐
推荐系统
群推荐
聚集策略
personalized recommendation recommendation system group recommendation aggregation strategy