情感推荐系统研究
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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.
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.
引文
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[9]谷学静,王志良,刘冀伟.人工心理模型在个性化商品推荐系统中的应用[J].微计算机信息,2006,22(2):198-200.Gu X J,Wang Z L,Liu J W.The application of artificial psychol-ogy model in personalized recommendation system service[J].Microcomputer Information,2006,22(2):198-200.
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[14]王君,许洁萍.层次音乐推荐系统的研究[C]//第18届全国多媒体学术会议(NCMT2009).北京:清华大学出版社,2009:7-12.Wang J,Xu J P.Research on the leveled music recommendersystem[C]//Proceedings of 18th NCMT.Beijing:Tsinghua Uni-versity Press,2009:7-12.
[15]田超,覃左言,朱青,等.SuperRank:基于评论分析的智能推荐系统[J].计算机研究与发展,2010,47(z1):494-498.Tian C,Qin Z Y,Zhu Q,et al.SuperRank:An intelligent recom-mendation system based on review analysis[J].Journal of Com-puter Research and Development,2010,47(z1):494-498.
[16]郭溥洲,林鸿南,刘籹君.决策建议采纳行为——以个人投资推荐系统为例[J].资讯管理展望,2010,12(1):1-19.Guo F Z,Lin H N,Liu N J.An empirical investigation of de-cision aid acceptance in financial recommendation systems[J].Information Management Forecast,2010,12(1):1-19.
[17]田超,朱青,覃左言,等.基于评论分析的查询服务推荐排序[J].小型微型计算机系统,2011,32(9):1740-1746.Tian C,Zhu Q,Qin Z Y,et al.Query services ranking for rec-ommendation based on review analysis[J].Journal of ChineseComputer Systems,2011,32(9):1740-1746.
[18]钟生海,邱玉辉.基于情感语义的个性化推荐研究[J].西南师范大学学报:自然科学版,2011,36(4):183-187.Zhong S H,Qiu Y H.Study on recommendation based on af-fection semantic[J].Journal of Southwest China Normal Uni-versity:Natural Science Edition,2011,36(4):183-187.
[19]那日萨,钟佳丰,童强.基于情感词汇的在线评论产品个性化推荐方法研究[J].郑州大学学报:理学版,2011,43(2):48-51.Na R S,Zhong J F,Tong Q.Research on product recommenda-tion based on sentiment words of online reviews[J].Journal ofZhengzhou University:Natural Science Edition,2011,43(2):48-51.
[20]Gonza′lez G,Lo′pez B,De la Rosa J L.A multi-agent smart usermodel for cross-domain recommender systems[C]//Proceedingsof Beyond Personalization:The Next Stage of RecommenderSystems Research.New York,USA:ACM Press,2005:93-94.
[21]Kim S J,Kim J S,Kim S H,et al.Evolvable recommen-dation system in the portable device based on the emotionawareness[C]//Proceedings of 9th International Conference onKnowledge-Based&Intelligent Information&EngineeringSystems(KES).Berlin,Germany:Springer-Verlag,2005:251-257.
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