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Let's go to the cinema! A movie recommender system for ephemeral groups of users

Guillermo Fernandez, Waldemar Lopez, Fernando Olivera, Bruno Rienzi, Pablo Rodriguez-Bocca
2014 2014 XL Latin American Computing Conference (CLEI)  
In this paper we present a recommendation system for groups of users that go to the cinema.  ...  In these cases, a recommender system for ephemeral groups of users is more suitable than (well-studied) recommender systems for individuals.  ...  One of these is PolyLens [13] (extension of MovieLens), a research project from the Minnesota University that recommended movies for small groups of users.  ... 
doi:10.1109/clei.2014.6965161 dblp:conf/clei/FernandezLORR14 fatcat:7e7bzgtpmnb3pb4w3w2dmr3lvu

PolyLens: A Recommender System for Groups of Users [chapter]

Mark O'Connor, Dan Cosley, Joseph A. Konstan, John Riedl
ECSCW 2001  
We present PolyLens, a new collaborative filtering recommender system designed to recommend items for groups of users, rather than for individuals.  ...  We present an analysis of the primary design issues for group recommenders, including questions about the nature of groups, the rights of group members, social value functions for groups, and interfaces  ...  Acknowledgements We would like to thank members of the GroupLens Research Group for their contributions to this research, and particularly Tony Lam for developing the MovieLens experimental framework.  ... 
doi:10.1007/0-306-48019-0_11 dblp:conf/ecscw/OConnorCKR01 fatcat:skcdptmssjf75luz2vuvlqjx3e

Improving performance of collaborative recommender system using combination of learning techniques

Nitin Mishra
2019 International Robotics & Automation Journal  
Recommender systems provide personalized information by learning the user's interests from traces of interaction with that user.  ...  For the users of these web sites it becomes increasingly difficult and time consuming to find the information they are looking for.  ...  Oconnor et al. 8 introduced a movie recommender system called PolyLens which recommends the movies to small group of peoples. 10 They combined the individual recommendation of each member of the group  ... 
doi:10.15406/iratj.2019.05.00174 fatcat:llpo6nyaxnhahkrjpwv5jpi5lm

Interface and interaction design for group and social recommender systems

Yu Chen
2011 Proceedings of the fifth ACM conference on Recommender systems - RecSys '11  
Group and social recommender systems aim to recommend items of interest to a group or a community of people.  ...  In this paper, we survey the state-of-the-art in user experience design of group and social recommender systems.  ...  WORK UP-TO-DATE 3.1 GroupFun We have developed a music group recommender system named GroupFun, which is a Facebook application that allows groups of users to share music for events, such as a graduation  ... 
doi:10.1145/2043932.2044007 dblp:conf/recsys/Chen11 fatcat:dnbxdihdmva4bo4mtl5jclgrr4

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.  ...  For instance, a recommender system may select television programmes for a group to view or a sequence of songs to listen to, based on models of all group members.  ... 
doi:10.1007/978-0-387-85820-3_21 fatcat:oard67u4enci7kvhlvzim6dqr4

APPLYING THE AFFECTIVE AWARE PSEUDO ASSOCIATION METHOD TO ENHANCE THE TOP-N RECOMMENDATIONS DISTRIBUTION TO USERS IN GROUP EMOTION RECOMMENDER SYSTEMS

John Kalung Leung, Igor Griva, William G. Kennedy
2021 Zenodo  
A common approach for making recommendations for a user group is to extend Personalized Recommender Systems' capability.  ...  Recommender Systems are a subclass of information retrieval systems, or more succinctly, a class of information filtering systems that seeks to predict how close is the match of the user's preference to  ...  [45] developed PolyLens, a collaborative filtering recommender system designed to recommend movies for a group of viewers rather than individuals.  ... 
doi:10.5281/zenodo.4607312 fatcat:3i3m6iylmjhsflkmubjfpwijtu

AGReMo

Christoph Beckmann, Tom Gross
2011 Proceedings of the 29th Annual European Conference on Cognitive Ergonomics - ECCE '11  
Recommender systems provide users with suggestions of artefacts or other users. Group recommender systems facilitate decision making in groups of users who need to make a choice together.  ...  In this paper we introduce a novel approach providing ad-hoc groups of users who want to watch a movie together with shared on-demand recommendations on mobile devices.  ...  ACKNOWLEDGEMENTS We thank the members of the CML. We thank moviepilot GmbH. Part of the work has been funded by the German Research Foundation (DFG GR 2055/2-1).  ... 
doi:10.1145/2074712.2074747 dblp:conf/ecce/BeckmannG11 fatcat:se7wawwjyfh4jdkfbmqklkb6ny

Towards a group recommender process model for ad-hoc groups and on-demand recommendations

Christoph Beckmann, Tom Gross
2010 Proceedings of the 16th ACM international conference on Supporting group work - GROUP '10  
In this paper we present an approach for group recommendations for movies based on a novel group recommender process model for ad-hoc groups with on-demand recommendations.  ...  Most of the current systems address individual users, support stationary use, and require pre-configuration.  ...  Acknowledgements We thank the members of the CML (esp. Maximilian Schirmer), and moviepilot. Part of the work has been funded by the German Research Foundation (DFG GR 2055/2-1).  ... 
doi:10.1145/1880071.1880134 dblp:conf/group/BeckmannG10 fatcat:4gghjwdfsfgbhez5vcojqbxnci

Adaptive radio

Dennis L. Chao, Justin Balthrop, Stephanie Forrest
2005 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work - GROUP '05  
We introduce the use of negative preferences to produce solutions that are acceptable to a group of users.  ...  This technique takes advantage of the fact that discovering what a user does not like can be easier than discovering what the user does like.  ...  ACKNOWLEDGMENTS We thank Allan MacLean and Joe McCarthy for their insightful comments.  ... 
doi:10.1145/1099203.1099224 dblp:conf/group/ChaoBF05 fatcat:cbgztwa4zfhsfinqjpskq7aws4

More than the sum of its members

Anthony Jameson
2004 Proceedings of the working conference on Advanced visual interfaces - AVI '04  
Systems that recommend items to a group of two or more users raise a number of challenging issues that are so far only partly understood.  ...  This paper identifies four of these issues and points out that they have been dealt with to only a limited extent in the group recommender systems that have been developed so far.  ...  POLYLENS ( [13] ) is a generalization of the MOVIELENS system (http://www.movielens.umn.edu/) that recommends movies to groups of users.  ... 
doi:10.1145/989863.989869 dblp:conf/avi/Jameson04 fatcat:ipyuqpuearclpk43luu7whz2fa

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

Iván Cantador, Pablo Castells
2012 Intelligent Systems Reference Library  
An increasingly important type of recommender systems comprises those that generate suggestions for groups rather than for individuals.  ...  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  ...  Acknowledgements This work was supported by the Spanish Ministry of Science and Innovation (TIN2008-06566-C04-02), and the Community of Madrid (S2009TIC-1542).  ... 
doi:10.1007/978-3-642-25694-3_7 fatcat:774ktylwknef5coi3lkmvdricy

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

Design and evaluation of a group recommender system

Toon De Pessemier, Simon Dooms, Luc Martens
2012 Proceedings of the sixth ACM conference on Recommender systems - RecSys '12  
In this paper, we present a recommender system for audio-visual content that generates suggestions for groups of people (such as families or friends) in the home environment.  ...  Consequently, if an existing recommender system for individuals is extended to a recommender system for groups, the group recommendation strategy has to be chosen based on the utilized recommendation algorithm  ...  RELATED WORK In the domain of movies, Polylens is an extension of Movielens that enables recommendations for groups [6] .  ... 
doi:10.1145/2365952.2366000 dblp:conf/recsys/PessemierDM12 fatcat:pvsmrgjadvfhdd753rk6t33znq

Groups Identification and Individual Recommendations in Group Recommendation Algorithms

Ludovico Boratto, Salvatore Carta, Michele Satta
2010 ACM Conference on Recommender Systems  
In this paper a novel algorithm able to identify groups of users and produce recommendations for each group is presented.  ...  Group recommender systems usually consider predefined/a priori known groups and just a few existing approaches are able to automatically identify groups.  ...  Approaches that merge individual recommendations PolyLens [17] is a system built to produce recommendations for groups of users who want to see a movie.  ... 
dblp:conf/recsys/BorattoCS10 fatcat:vqlggrlhy5b4rnf2klikphjiai

TV Program Recommendation for Multiple Viewers Based on user Profile Merging

Zhiwen Yu, Xingshe Zhou, Yanbin Hao, Jianhua Gu
2006 User modeling and user-adapted interaction  
The selected strategy first merges all user profiles to construct a common user profile, and then uses a recommendation approach to generate a common program recommendation list for the group according  ...  Since today's television can receive more and more programs, and televisions are often viewed by groups of people, such as a family or a student dormitory, this paper proposes a TV program recommendation  ...  We thank Phillip McKerrow (University of Wollongong, Australia) for his helpful discussion about performance evaluation.  ... 
doi:10.1007/s11257-006-9005-6 fatcat:jonvlfmsdrdq7ddwhx7tljmpry
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