综述述评

国外群推荐聚集策略研究综述

  • 何军
展开
  • 安徽大学商学院
何军,安徽大学商学院讲师,博士研究生,E-mail:ahuec_he@163.com。

收稿日期: 2012-11-07

  修回日期: 2013-02-27

  网络出版日期: 2013-04-05

Research Review on Group Recommendation Aggregation Strategy at Abroad

  • He Jun
Expand
  • School of Business, Anhui University, Hefei 230601

Received date: 2012-11-07

  Revised date: 2013-02-27

  Online published: 2013-04-05

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。

本文引用格式

何军 . 国外群推荐聚集策略研究综述[J]. 图书情报工作, 2013 , (07) : 127 -133,88 . DOI: 10.7536/j.issn.0252-3116.2013.07.023

Abstract

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.

参考文献

[1] Malone T W,Grant K R,Turbak F A,et al.Intelligent information sharing systems[J].Communications of the ACM,1987,30(5):390-402.
[2] Resnick P,Iacovou N,Suchak M,et al.GroupLens: An open architecture for collaborative filtering of netnews[C]//Proceedings of ACM 1994 Conference on Computer Supported Cooperative Work. Chapel Hill:ACM,1994:175-186.
[3] Hill W,Stead L,Rosenstein M,et al. Recommending and evaluating choices in a virtual community of use [C]// CHI ’95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Denver:ACM,1995:194-201.
[4] Boratto L,Carta S. State-of-the-art in group recommendation and new approaches for automatic identification of groups[C]//Information Retrieval and Mining in Distributed Environments.Berlin:Springer Verlag,2010:1-20.
[5] Jameson A,Smyth B. Recommendation to groups[C]//The Adaptive Web LNCS 4321.Berlin Heidelberg:Springer-Verlag,2007:596-627.
[6] Quijano-Sanchez L,Recio-Garcia J,Diaz-Agudo B,et al.Happy movie: A group recommender application in facebook[C]//Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference. Palm Beach:AAAI Publications, 2011:419-420.
[7] MacRoberts M H,MacRoberts B R.Problems of citation analysis: A xritical review[J].American Society for Information Science,1989,40(5):342-349.
[8] Davenport E,Cronin B.The citation network as a prototype for representing trust[C]//The Web of Knowledge: A Festschrift in Honor of Eugene Garfield. Medford:Learned Information Inc,2000:517-534.
[9] Jameson A,Baldes S,Kleinbauer T. Enhancing mutual awareness in group recommender systems[C]//Proceedings of the IJCAI 2003 Workshop on Intelligent Techniques for Web Personalization. Menlo Park:AAAI Press,2003.
[10] McCarthy J F,Anagnost TD. MusicFX:An arbiter of group preferences for computer supported collaborative workouts [C]//Proceedings of the 1998 ACM Conference on Computer Supported Cooperative Work. New York:ACM,1998:363-372.
[11] Kim J K,Kim H K,Oh H Y,et al. A group recommendation system for online communities[J]. International Journal of Information Management,2010,30(3):212-219.
[12] Sprague D,Wu Fuqu,Tory M. Music selection using the partyvote democratic jukebox[C]//Proceedings of the Working Conference on Advanced Visual Interfaces. New York:ACM,2008:433-436.
[13] Smyth B,Freyne J,Coyle M,et al. I-SPY:Anonymous, community-based personalization by collaborative Web search[C]//Proceedings of the 23rd SGAI International Conference on Innovative Techniques. Cambridge:Springer,2003:367-380.
[14] O’connor M,Cosley D,Konstan J A,et al. PolyLens:A recommender system for groups of users[C]//Proceedings of the European Conference on Computer Supported Cooperative Work (ECSCW 2001). Norwell:Springer,2001:199–218.
[15] McCarthy K,Salam'o M,Coyle L,et al. Cats: A synchronous approach to collaborative group recommendation[C]// FLAIRS Conference. Menlo Park:AAAI Press,2006:86-91.
[16] Ardissono L,Goy A,Petrone G,et al. Intrigue:Personalized recommendation of tourist attractions for desktop and handset devices[J]. Applied Artificial Intelligence,2003,17(8-9):687-714.
[17] Yu Zhiwen,Zhou Xingshe,Hao Yanbin,et al. TV program recommendation for multiple viewers based on user profile merging[J]. User Modeling and User-Adapted Interaction,2006,16(1):63-82.
[18] Crossen A,Budzik J,Hammond K J. Flytrap:Intelligent group music recommendation[C]// IUI ’02 Proceedings of the 7th International Conference on Intelligent User Interfaces. New York:ACM,2002:184-185.
[19] Lieberman H,Dyke N V,Vivacqua A. Let’s browse: A collaborative browsing agent[J]. Knowledge-Based Systems,1999,12(8):427–431.
[20] Boratto L,Carta S,Chessa A,et al. Group recommendation with automatic identification of users communities[C]//Web Intelligence and Intelligent Agent Technologies(WI-IAT ’09),IEEE/WIC/ACM International Joint Conferences.Milan: IEEE Press,2009:547-550.
[21] Jameson A. More than the sum of its members challenges for group recommender systems[C]//Proceedings of the Working Conference on Advanced Visual Interfaces. New York:ACM,2004:48 – 54.
[22] Ricci F, Rokach L, Shapira B,et al. Recommender systems handbook[M]//Masthoff J. Group Recommender Systems Combining Individual Models. New York:Springer,2011:677-702.
[23] Cantador I, Castells P. Group recommender systems: New perspectives in the social Web[C]//Recommendation Systems for the Social Web.Berlin:Springer-verlags,2012:139-157.
[24] McCarthy J F. Pocket restaurant finder: A situated recommender system for groups[C]//Workshop on Mobile Ad-Hoc Communication at the 2002.Minneapolis:ACM,2002.
[25] Popescu G,Pu P. Group recommender systems as a voting problem[C]//Human Computer Interaction Group.Lausanne:Swiss Federal Institute of Technology in Lausanne (EPFL) Press,2011.
[26] Masthoff J. Group modeling: Selecting a sequence of television items to suit a group of viewers[J]. User Modeling and User-Adapted Interaction,2004,14(1): 37-85.
[27] Salamo M,McCarthy K,Smyth B. Generating recommendations for consensus negotiation in group personalization services[J]. Personal and Ubiquitous Computing,2012,16(5):597-610.
[28] Bernier C,Brun A,Aghasaryan A,et al. Topology of communities for the collaborative recommendations to groups[C]//3rd International Conference on Information Systems and Economic Intelligence.Sousse:HAL Press,2010.
[29] Masthoff J. Modeling a group of television viewers[C]//Proceedings of the Future TV:Adaptive Instruction in Your Living Room.Biarritz:ITS Press,2002:34-42.
[30] Senot C,Kostadinov D, Bouzid M. Analysis of strategies for building group profiles [C].User Modeling, Adaptation and Personalization.Berlin: Springer,2010:40-51.
[31] Gartrell M, Xing X, Lv Q,et al. Enhancing group recommendation by incorporating social relationship interactions[C]//Proceedings of the 16th ACM international Conference on Supporting Group Work. New York:ACM,2010:97-106.
[32] Najjar N A,Wilson D C.Evaluating group recommendation strategies in memory-based collaborative filtering[C]//5th ACM International Conference on Recommender Systems,Recsys 2011. Chicago:ACM,2011:43-50.
[33] Masthoff J,Gatt A. In pursuit of satisfaction and the prevention of embarrassment affective state in group recommender systems[J].User Modeling and User-Adapted Interaction,2006,16(3-4):281-319.
[34] Garcia I,Pajares S,Sebastia L,et al. Preference elicitation techniques for group recommender systems[J]. Information Sciences,2012,189(4):155-175.
[35] Kobsa A,Cranor L. Proceedings of the UM05 workshop on privacy-enhanced personalization [C]// 10th International Conference on User Modeling. Edinburgh:User Modeling Inc.,2005.
[36] Chen Y. User issues in social group recommender systems[C]//Edic Research Proposal.Lausanne:Swiss Federal Institute Press,2009.
[37] Chen Yen-Liang,Cheng Li-Chen,Chuang Ching-Nan.A group recommendation system with consideration of interactions among group members[J]. Expert Systems with Applications,2008,34(3):2082-2090.
[38] Recio-Garcia J A,Jimenez-Diaz G,Sanchez-Ruiz A,et al. Personality aware recommendations to groups[C]// RecSys ’09 Proceedings of the Third ACM Conference on Recommender Systems. New York:ACM,2009:325-328.
[39] Bekkerman P,Kraus S,Ricci F. Applying cooperative negotiation methodology to group recommendation problem[C].Riva del Garda:European Conference on Artificial Intelligence Press,2006:72-75.
[40] Garcia I,Sebastia L,Pajares S,et al. Approaches to preference elicitation for group recommendation[J]. Computational Science,2011(6786):547-561.
[41] Roy S B,Amer-Yahia S,Chawla A. Space efficiency in group recommendation[J]. The International Journal on Very Large Data Bases,2010,19(6):877-900.
[42] Konstas I,Stathopoulos V,Jose J M. On social networks and collaborative recommendation[C]//SIGIR ’09 Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval. New York:ACM,2009:195-202.
[43] Ma Hao,King I, Lyu M R. Learning to recommend with social trust ensemble[C]//Proceedings of the 32nd International ACM Conference on Research and Development in Information Retrieval. New York:ACM,2009:203-210.
[44] Shang Shang,Hui Pan,Kulkarni S R. Wisdom of the crowd: Incorporating social influence in recommendation models[C]//Proceedings of the 17th International Conference on Parallel and Distributed Systems. Hoboken: IEEE Press,2011:835-840.
[45] Ye Mao, Liu Xingjie,Lee W C. Exploring social influence for recommendation-A probabilistic generative model approach[C]//arXiv:1109.0758,2011.
[46] Lu Y,Jerath K,Singh P. The emergence of opinion leaders in online review communities:A dyadic model with time dynamics and a heuristic for fast estimation[EB/OL].[2012-11-04].http://ssrn.com/abstract=1562245.
[47] Goldenberg J,Han S,Lehmann D,et al. The role of hubs in the adoption processes[J]. Journal of Marketing,2009,73(2):1-13.
[48] Li Feng,Du T C. Who is talking? An ontology-based opinion leader identification framework for word-of-mouth marketing in online social blogs[J]. Decision Support Systems,2011,51(1):190-197.
[49] Padmanabhan V,Seemala S,Bhukya W. A rule based approach to group recommender systems[C]//Multi-disciplinary Tvends in Artificial Intelligence. Berlin:Springer,2011:26-37.

文章导航

/

〈 〉