Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Fab: content-based, collaborative recommendation
Communications of the ACM
MusicFX: an arbiter of group preferences for computer supported collaborative workouts
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Content-based book recommending using learning for text categorization
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
The InfoFinder Agent: Learning User Interests through Heuristic Phrase Extraction
IEEE Expert: Intelligent Systems and Their Applications
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Latent semantic models for collaborative filtering
ACM Transactions on Information Systems (TOIS)
More than the sum of its members: challenges for group recommender systems
Proceedings of the working conference on Advanced visual interfaces
IEEE Transactions on Knowledge and Data Engineering
PolyLens: a recommender system for groups of users
ECSCW'01 Proceedings of the seventh conference on European Conference on Computer Supported Cooperative Work
Detection of the customer time-variant pattern for improving recommender systems
Expert Systems with Applications: An International Journal
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A method for member selection of R&D teams using the individual and collaborative information
Expert Systems with Applications: An International Journal
Collaborative filtering based on workflow space
Expert Systems with Applications: An International Journal
Web-Based Recommender Systems and User Needs --the Comprehensive View
Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
Managing uncertainty in group recommending processes
User Modeling and User-Adapted Interaction
Personality aware recommendations to groups
Proceedings of the third ACM conference on Recommender systems
Group-based recipe recommendations: analysis of data aggregation strategies
Proceedings of the fourth ACM conference on Recommender systems
Space efficiency in group recommendation
The VLDB Journal — The International Journal on Very Large Data Bases
Personalizing group recommendation to social network users
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part I
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
Using personality to create alliances in group recommender systems
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
A rule based approach to group recommender systems
MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
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
Expert Systems with Applications: An International Journal
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
A negotiation framework for heterogeneous group recommendation
Expert Systems with Applications: An International Journal
Including social factors in an argumentative model for Group Decision Support Systems
Decision Support Systems
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As on-line community activities have increased exponentially, the need for a group recommendation system has also become more and more imperative. Although, the traditional recommendation system has achieved great success in supporting individuals' purchasing decisions, it is not suitable for supporting group purchasing decisions because its input can neither include items' ratings given by groups, nor can it generate recommendations for groups. Therefore, this study proposes a novel group recommendation system to satisfy this demand. The system is designed based on the framework of collaborative filtering. Especially, we use genetic algorithm to predict the possible interactions among group members so that we can correctly estimate the rating that a group of members might give to an item. The experimental results show that the proposed system can give satisfactory and high quality group recommendations.