Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Mining quantitative association rules in large relational tables
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
Data Mining and Knowledge Discovery
Group Modeling: Selecting a Sequence of Television Items to Suit a Group of Viewers
User Modeling and User-Adapted Interaction
IEEE Transactions on Knowledge and Data Engineering
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
Google news personalization: scalable online collaborative filtering
Proceedings of the 16th international conference on World Wide Web
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
Predicting tie strength with social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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
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
Fusing mobile, sensor, and social data to fully enable context-aware computing
Proceedings of the Eleventh Workshop on Mobile Computing Systems & Applications
The adaptive web
Modeling relationship strength in online social networks
Proceedings of the 19th international conference on World wide web
What's the best music you have?: designing music recommendation for group enjoyment in groupfun
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Informing the design of group recommender systems
CHI '12 Extended Abstracts on Human Factors in Computing Systems
The effects of location personalization on individuals' intention to use mobile services
Decision Support Systems
Fast group recommendations by applying user clustering
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
A group recommender for movies based on content similarity and popularity
Information Processing and Management: an International Journal
Tailoring recommendations to groups of users: a graph walk-based approach
Proceedings of the 2013 international conference on Intelligent user interfaces
Group TV: a cloud based social TV for group social experience
Proceedings of the 21st ACM international conference on Multimedia
Simplifying the task of group gift giving
The Personal Web
Expert Systems with Applications: An International Journal
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Group recommendation, which makes recommendations to a group of users instead of individuals, has become increasingly important in both the workspace and people's social activities, such as brainstorming sessions for coworkers and social TV for family members or friends. Group recommendation is a challenging problem due to the dynamics of group memberships and diversity of group members. Previous work focused mainly on the content interests of group members and ignored the social characteristics within a group, resulting in suboptimal group recommendation performance. In this work, we propose a group recommendation method that utilizes both social and content interests of group members. We study the key characteristics of groups and propose (1) a group consensus function that captures the social, expertise, and interest dissimilarity among multiple group members; and (2) a generic framework that automatically analyzes group characteristics and constructs the corresponding group consensus function. Detailed user studies of diverse groups demonstrate the effectiveness of the proposed techniques, and the importance of incorporating both social and content interests in group recommender systems.