MusicFX: an arbiter of group preferences for computer supported collaborative workouts
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
Let's browse: a collaborative Web browsing agent
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
DiamondTouch: a multi-user touch technology
Proceedings of the 14th annual ACM symposium on User interface software and technology
Flytrap: intelligent group music recommendation
Proceedings of the 7th international conference on Intelligent user interfaces
Group Modeling: Selecting a Sequence of Television Items to Suit a Group of Viewers
User Modeling and User-Adapted Interaction
More than the sum of its members: challenges for group recommender systems
Proceedings of the working conference on Advanced visual interfaces
Two methods for enhancing mutual awareness in a group recommender system
Proceedings of the working conference on Advanced visual interfaces
Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine
User Modeling and User-Adapted Interaction
Adaptive radio: achieving consensus using negative preferences
GROUP '05 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work
Group recommender systems: a critiquing based approach
Proceedings of the 11th international conference on Intelligent user interfaces
TV Program Recommendation for Multiple Viewers Based on user Profile Merging
User Modeling and User-Adapted Interaction
PolyLens: a recommender system for groups of users
ECSCW'01 Proceedings of the seventh conference on European Conference on Computer Supported Cooperative Work
Group modeling in a public space: methods, techniques, experiences
AIC'05 Proceedings of the 5th WSEAS International Conference on Applied Informatics and Communications
A live-user evaluation of collaborative web search
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
User profiles for personalized information access
The adaptive web
The adaptive web
Collaborative filtering recommender systems
The adaptive web
Content-based recommendation systems
The adaptive web
The adaptive web
Hybrid web recommender systems
The adaptive web
Adaptive information for consumers of healthcare
The adaptive web
Personalization in e-commerce applications
The adaptive web
Adaptive support for distributed collaboration
The adaptive web
Complexity of mechanism design
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
The pursuit of satisfaction: affective state in group recommender systems
UM'05 Proceedings of the 10th international conference on User Modeling
Music selection using the PartyVote democratic jukebox
AVI '08 Proceedings of the working conference on Advanced visual interfaces
Handling conditional preferences in recommender systems
Proceedings of the 14th international conference on Intelligent user interfaces
Managing uncertainty in group recommending processes
User Modeling and User-Adapted Interaction
Group Recommendation with Automatic Identification of Users Communities
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Proceedings of the third ACM conference on Recommender systems
Personality aware recommendations to groups
Proceedings of the third ACM conference on Recommender systems
Group recommendation: semantics and efficiency
Proceedings of the VLDB Endowment
Aggregation Trade Offs in Family Based Recommendations
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
User models for adaptive hypermedia and adaptive educational systems
The adaptive web
Personalized search on the world wide web
The adaptive web
The adaptive web
Personalization in e-commerce applications
The adaptive web
Artificial intelligence
Collaborative filtering via euclidean embedding
Proceedings of the fourth ACM conference on Recommender systems
Group-based recipe recommendations: analysis of data aggregation strategies
Proceedings of the fourth ACM conference on Recommender systems
Group recommendations with rank aggregation and collaborative filtering
Proceedings of the fourth ACM conference on Recommender systems
Evaluating, combining and generalizing recommendations with prerequisites
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Enhancing group recommendation by incorporating social relationship interactions
Proceedings of the 16th ACM international conference on Supporting group work
Distributed deliberative recommender systems
Transactions on computational collective intelligence I
A framework and an architecture for context-aware group recommendations
CRIWG'10 Proceedings of the 16th international conference on Collaboration and technology
Netflix recommendations for groups
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
Using external aggregate ratings for improving individual recommendations
ACM Transactions on the Web (TWEB)
Space efficiency in group recommendation
The VLDB Journal — The International Journal on Very Large Data Bases
REQUEST: A Query Language for Customizing Recommendations
Information Systems Research
Proceedings of the 3rd ACM SIGCHI symposium on Engineering interactive computing systems
Double-sided recommendations: a novel framework for recommender systems
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
Interactive multi-party critiquing for group recommendation
Proceedings of the fifth ACM conference on Recommender systems
Design guidelines for mobile group recommender systems to handle inaccurate or missing location data
Proceedings of the fifth ACM conference on Recommender systems
Informative household recommendation with feature-based matrix factorization
Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation
Mining relational context-aware graph for rater identification
Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation
Using personality to create alliances in group recommender systems
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
Personalization in cultural heritage: the road travelled and the one ahead
User Modeling and User-Adapted Interaction
Generating recommendations for consensus negotiation in group personalization services
Personal and Ubiquitous Computing
Exploring social influence for recommendation: a generative model approach
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Exploring personal impact for group recommendation
Proceedings of the 21st ACM international conference on Information and knowledge management
Social factors in group recommender systems
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Contextual recommendations for groups
ER'12 Proceedings of the 2012 international conference on Advances in Conceptual Modeling
Fast group recommendations by applying user clustering
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Profile recommendation in communities of practice based on multiagent systems
SBIA'12 Proceedings of the 21st Brazilian conference on Advances in Artificial Intelligence
A group recommender for movies based on content similarity and popularity
Information Processing and Management: an International Journal
Group Recommender Model for Boosting and Optimizing Customer Purchases
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Knowledge-Based Systems
Generation of coalition structures to provide proper groups' formation in group recommender systems
Proceedings of the 22nd international conference on World Wide Web companion
Users' satisfaction in recommendation systems for groups: an approach based on noncooperative games
Proceedings of the 22nd international conference on World Wide Web companion
Probabilistic group recommendation via information matching
Proceedings of the 22nd international conference on World Wide Web
Automatically recommending multimedia content for use in group reminiscence therap
Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare
Music recommendations for groups of users
Proceedings of the 2013 ACM international workshop on Immersive media experiences
Improving contextual advertising by adopting collaborative filtering
ACM Transactions on the Web (TWEB)
A case-based solution to the cold-start problem in group recommenders
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Including social factors in an argumentative model for Group Decision Support Systems
Decision Support Systems
Hybreed: A software framework for developing context-aware hybrid recommender systems
User Modeling and User-Adapted Interaction
| Hi-index | 0.00 |
Recommender systems have traditionally recommended items to individual users, but there has recently been a proliferation of recommenders that address their recommendations to groups of users. The shift of focus from an individual to a group makes more of a difference than one might at first expect. This chapter discusses the most important new issues that arise, organizing them in terms of four subtasks that can or must be dealt with by a group recommender: 1. acquiring information about the user's preferences; 2. generating recommendations; 3. explaining recommendations; and 4. helping users to settle on a final decision. For each issue, we discuss how it has been dealt with in existing group recommender systems and what open questions call for further research.