摘要
对情感推荐系统的研究现状和进展进行了全面地总结.首先,梳理了情感推荐系统的研究之路,归纳并分析了国内外的研究机构、研究特点以及相关资源.其次,在情感推荐系统的统一框架下,详细地阐述了该领域所涉及的理论与技术,对主流算法进行了概括、分类和对比.最后,讨论了该领域研究中存在的重难点问题和后续可能的研究热点和方向,并对未来的发展进行了展望.
The current conditions and the progress of affective recommendation system are surveyed. Firstly, the research background is summarized and analyzed including domestic and international organizations, distinguishing features, and related resources. Then, within the unified framework of affective recommendation system, theories and technologies related to this area are expounded in details. Categorized algorithms are summarized, classified and compared. Finally, some most difficulties and possible research directions in the future are proposed, coupling with the forecasted development.
出处
《信息与控制》
CSCD
北大核心
2013年第2期218-228,共11页
Information and Control
基金
国家自然科学基金资助项目(61075053)
关键词
情感推荐系统
泛在网络
情感计算
信息过载
affective recommendation system
ubiquitous network
affective computing
information overload
