Group Recommender Systems: State of the Art, Emerging Aspects and Techniques, and Research Challenges

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• 关键词：Group recommendation ; Algorithms ; Evaluation ; Research challenges
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9626
• 期：1
• 页码：889-892
• 全文大小：98 KB
• 参考文献：1.Amer-Yahia, S., Omidvar-Tehrani, B., Basu Roy, S., Shabib, N.: Group recommendation with temporal affinities. In: Proceedings of 18th International Conference on Extending Database Technology (EDBT), pp. 421–432. OpenProceedings.org (2015)
  2.Boratto, L., Carta, S.: State-of-the-art in group recommendation and new approaches for automatic identification of groups. In: Soro, A., Vargiu, E., Armano, G., Paddeu, G. (eds.) IRMDE 2010. SCI, vol. 324, pp. 1–20. Springer, Heidelberg (2010)CrossRef
  3.Boratto, L., Carta, S.: Using collaborative filtering to overcome the curse of dimensionality when clustering users in a group recommender system. In: ICEIS 2014 - Proceedings of 16th International Conference on Enterprise Information Systems, vol. 2. pp. 564–572. SciTePress (2014)
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  9.Masthoff, J.: Group recommender systems: combining individual models. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.) Recommender Systems Handbook, pp. 677–702. Springer, Heidelberg (2011)CrossRef
  10.Ricci, F.: Recommender systems: models and techniques. In: Alhajj, P., Rokne, J. (eds.) Encyclopedia of Social Network Analysis and Mining, pp. 1511–1522. Springer, New York (2014)
  11.Ricci, F., Rokach, L., Shapira, B.: Recommender systems: introduction and challenges. In: Ricci, F., Rokach, L., Shapira, B. (eds.) Recommender Systems Handbook, pp. 1–34. Springer, Heidelberg (2015). doi:10.​1007/​978-1-4899-7637-6_​1 CrossRef
  12.Yuan, Q., Cong, G., Lin, C.Y.: COM: a generative model for group recommendation. In: Proceedings of 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2014, pp. 163–172. ACM (2014)
  
• 作者单位：Ludovico Boratto (21)
  
  21. Dipartimento di Matematica e Informatica, Università di Cagliari, Via Ospedale, 72 - 09124, Cagliari, Italy
  
• 丛书名：Advances in Information Retrieval
• ISBN：978-3-319-30671-1
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

A recommender system aims at suggesting to users items that might interest them and that they have not considered yet. A class of systems, known as group recommendation, provides suggestions in contexts in which more than one person is involved in the recommendation process. The goal of this tutorial is to provide the ECIR audience with an overview on group recommendation. We will first illustrate the recommender systems principles, then formally introduce the problem of producing recommendations to groups, and present a survey based on the tasks performed by these systems. We will also analyze challenging topics like their evaluation, and present emerging aspects and techniques in this area. The tutorial will end with a summary that highlights open issues and research challenges.