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Group recommender systems
2006
Proceedings of the 11th international conference on Intelligent user interfaces - IUI '06
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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]
2021
arXiv
pre-print
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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]
2010
Recommender Systems Handbook
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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
2007
Evidence-Based Complementary and Alternative Medicine
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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
2011
Proceedings of the fifth ACM conference on Recommender systems - RecSys '11
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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
2013
Information Processing & Management
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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
2010
Proceedings of the fourth ACM conference on Recommender systems - RecSys '10
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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
2012
Information Sciences
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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]
2012
Intelligent Systems Reference Library
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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]
2015
Lecture Notes in Computer Science
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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
2021
Information
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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
2018
Journal of Information Processing
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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
2013
Proceedings of the 2013 ACM international workshop on Immersive media experiences - ImmersiveMe '13
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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
2017
Expert systems with applications
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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
2011
Expert systems with applications
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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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