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Group recommender systems

Kevin McCarthy, Maria Salamó, Lorcan Coyle, Lorraine McGinty, Barry Smyth, Paddy Nixon
2006 Proceedings of the 11th international conference on Intelligent user interfaces - IUI '06  
Group recommender systems introduce a whole set of new challenges for recommender systems research.  ...  In this paper we introduce a group recommender system that is designed to provide assistance to a group of friends trying to plan a skiing vacation.  ...  GROUP RECOMMENDATION Our approach to group recommendation is based on a collaborative recommender framework that, at the interface layer, assumes the availability of individual and group interaction spaces  ... 
doi:10.1145/1111449.1111506 dblp:conf/iui/McCarthySCMSN06 fatcat:rx3q7bshhfatrp77wq26mh2bda

Designing Explanations for Group Recommender Systems [article]

A. Felfernig and N. Tintarev and T.N.T. Trang and M. Stettinger
2021 arXiv   pre-print
In this paper, we provide an overview of existing research related to explanations in recommender systems, and specifically discuss aspects relevant to group recommendation scenarios.  ...  Developers of recommender systems want to convince users to purchase specific items. Users should better understand how the recommender system works and why a specific item has been recommended.  ...  CRITIQUING-BASED RECOMMENDATION To assist users in constructing and refining preferences, critiquing-based recommender systems [19] determine recommendations based on the similarity between candidate  ... 
arXiv:2102.12413v1 fatcat:n62423jntraq7nr5arjdpxs4na

Group Recommender Systems: Combining Individual Models [chapter]

Judith Masthoff
2010 Recommender Systems Handbook  
This chapter shows how a system can recommend to a group of users by aggregating information from individual user models and modelling the users affective state.  ...  It also shows how group recommendation techniques can be applied when recommending to individuals, in particular for solving the cold-start problem and dealing with multiple criteria.  ...  Users consider holiday packages, and critique their features (e.g., 'like the one shown but with a swimming pool'). Based on these critiques, the system recommends other holidays to them.  ... 
doi:10.1007/978-0-387-85820-3_21 fatcat:oard67u4enci7kvhlvzim6dqr4

Evaluating Complex Healthcare Systems: A Critique of Four Approaches

Heather Boon, Hugh MacPherson, Sue Fleishman, Sameline Grimsgaard, Mary Koithan, Arne Johan Norheim, Harald Walach
2007 Evidence-Based Complementary and Alternative Medicine  
An international working group reviewed literature from interdisciplinary or interprofessional groups describing approaches to the evaluation of complex systems of healthcare.  ...  The following four key approaches were identified: a framework from the MRC (UK), whole systems research, whole medical systems research described by NCCAM (USA) and a model from NAFKAM (Norway).  ...  This perspective suggests that randomized controlled trials may be limited in their ability to adequately assess whole systems and thus recommends a mixed methods approach that includes a range of relevant  ... 
doi:10.1093/ecam/nel079 pmid:17965757 pmcid:PMC1978227 fatcat:3i2nj5fa7jcmhjei6p5f7iperi

Interactive multi-party critiquing for group recommendation

Francesca Guzzi, Francesco Ricci, Robin Burke
2011 Proceedings of the fifth ACM conference on Recommender systems - RecSys '11  
Current approaches generate group recommendations based on the users' individual preferences models.  ...  Group recommender systems (RS) are used to support groups in making common decisions when considering a set of alternatives.  ...  The critiquing-based system enabled the emergence of group consensus, as the exchanged proposals converge to the final selection, and was preferred by users overall.  ... 
doi:10.1145/2043932.2043980 dblp:conf/recsys/GuzziRB11 fatcat:ie2najktjvezfgwfnx2jcneeoy

Incorporating group recommendations to recommender systems: Alternatives and performance

F. Ortega, J. Bobadilla, A. Hernando, A. Gutiérrez
2013 Information Processing & Management  
As we will see here, recommender systems based on collaborative filtering can be used to perform recommendations to group of users.  ...  In this PhD thesis I will provide a wide vision about the state of the art of recommender systems. They were initially based on demographic, contentbased and collaborative filtering.  ...  If they critique a recommendation, the critique acts as a filter over the remaining recommendations.  ... 
doi:10.1016/j.ipm.2013.02.003 fatcat:vns4q3dex5fhfmao774o3dhasm

Iterative voting under uncertainty for group recommender systems

Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira
2010 Proceedings of the fourth ACM conference on Recommender systems - RecSys '10  
Group Recommendation Systems (GRS) aim at recommending items that are relevant for the joint interest of a group of users.  ...  We propose a method to accurately determine the winning item while using a minimal set of the group members ratings, assuming that the recommender system has probabilistic knowledge about the distribution  ...  INTRODUCTION Group Recommender Systems (GRS) provide recommendations for groups of users and are applicable for domains where a group of people participate in a single activity.  ... 
doi:10.1145/1864708.1864763 dblp:conf/recsys/DeryKRS10 fatcat:cufhreheljggtgfthz7jcrh3ai

Preference elicitation techniques for group recommender systems

Inma Garcia, Sergio Pajares, Laura Sebastia, Eva Onaindia
2012 Information Sciences  
Most group recommender systems (GRSs) make use of some sort of method for aggregating the preference models of individual users to elicit a recommendation that is satisfactory for the whole group.  ...  Preference elicitation techniques for group recommender systems. Information Sciences. 189:155-175.  ...  This type of system is called a Group Recommender System (GRS).  ... 
doi:10.1016/j.ins.2011.11.037 fatcat:4dykdtusije45ddlzl7obwood4

Group Recommender Systems: New Perspectives in the Social Web [chapter]

Iván Cantador, Pablo Castells
2012 Intelligent Systems Reference Library  
In this chapter, we revise state of the art approaches on group formation, modelling and recommendation, and present challenging problems to be included in the group recommender system research agenda  ...  An increasingly important type of recommender systems comprises those that generate suggestions for groups rather than for individuals.  ...  In this section, we revise state of the art group recommendation approaches based on user model aggregation, and approaches based on prediction aggregation.  ... 
doi:10.1007/978-3-642-25694-3_7 fatcat:774ktylwknef5coi3lkmvdricy

Preference Elicitation and Negotiation in a Group Recommender System [chapter]

Jesús Omar Álvarez Márquez, Jürgen Ziegler
2015 Lecture Notes in Computer Science  
We present a novel approach to group recommender systems that better takes into account the social interaction in a group when formulating, discussing and negotiating the features of the item to be jointly  ...  However, they also indicate that the negotiation-based approach may be more suitable for smaller groups, an aspect that will require further research.  ...  The approach also entails aspects of critique-based recommenders since users can criticize or accept proposed features or recommended items.  ... 
doi:10.1007/978-3-319-22668-2_2 fatcat:mguiwrujjzar7feegf43kmipzy

Context-Aware Music Recommender Systems for Groups: A Comparative Study

Adrián Valera, Álvaro Lozano Murciego, María N. Moreno-García
2021 Information  
Single-user recommender systems are no longer valid in this situation, and group recommender systems are needed to recommend music to groups of users, taking into account their individual preferences and  ...  In this paper, a group recommender system in the music domain is proposed, and an extensive comparative study is conducted, involving different collaborative filtering algorithms and aggregation methods  ...  A group recommender system for tourist activities.  ... 
doi:10.3390/info12120506 fatcat:lqpdktilz5ffdpsfj7cs2wgary

Negotiation and Reconciliation of Preferences in a Group Recommender System

Jesús Omar Álvarez Márquez, Jürgen Ziegler
2018 Journal of Information Processing  
Current group recommender techniques are mainly based on aggregating existing user profiles or on a profile of the group as a whole.  ...  We explored the possible benefits of our approach through the development of three prototypes, each based on a different variant of the approach with a different emphasis on private and group-wide preference  ...  However, the revised approach now also entailed aspects of critique-based recommenders during the preference elicitation phase, since users could criticize or accept proposed features.  ... 
doi:10.2197/ipsjjip.26.186 fatcat:hh6qc4e7zbdg7f37s3c2nr6224

Music recommendations for groups of users

Pedro Dias, João Magalhães
2013 Proceedings of the 2013 ACM international workshop on Immersive media experiences - ImmersiveMe '13  
In contrast to the majority of group recommender systems described in literature, our system employs a collaborative filtering approach based on latent factor space instead of content-based or ratings  ...  The approach here presented intends to bring a fresh new look over group recommendations, making use of latent factor space to identify groups and make recommendations.  ...  Our approach to group-based recommendation considers a small number of users and a set of leaders to smooth recommendations.  ... 
doi:10.1145/2512142.2512151 dblp:conf/mm/DiasM13 fatcat:nepjh35rgzcwjkruaow3hzillu

Make it personal: A social explanation system applied to group recommendations

Lara Quijano-Sanchez, Christian Sauer, Juan A. Recio-Garcia, Belen Diaz-Agudo
2017 Expert systems with applications  
As mentioned in the introduction section, some explanation components have been included in group recommender systems: CATS (McCarthy et al., 2006) allows a "critiquing" process between group members after  ...  group recommendation approaches.  ...  Table A .8: Sample phrases to generate explanations based on the satisfaction other group members would gain if the requesting user accepts the recommended item.  ... 
doi:10.1016/j.eswa.2017.01.045 fatcat:skn32mxl5nfylizfoirks2jyfq

On the design of individual and group recommender systems for tourism

Inma Garcia, Laura Sebastia, Eva Onaindia
2011 Expert systems with applications  
The system is able to offer recommendations for a single user or a group of users.  ...  This paper presents a recommender system for tourism based on the tastes of the users, their demographic classification and the places they have visited in former trips.  ...  Let RI u be the recommendation for a single user u, such that each element in RI u has the form (u, i, d ui ), where i is the recommended item (i ∈ I) and d ui  ... 
doi:10.1016/j.eswa.2010.12.143 fatcat:hyikzb332zedlg4i2y2iqj757i
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