Communications of the ACM
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Item-based top-N recommendation algorithms
ACM Transactions on Information Systems (TOIS)
IEEE Transactions on Knowledge and Data Engineering
Evaluating similarity measures: a large-scale study in the orkut social network
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Usage patterns of collaborative tagging systems
Journal of Information Science
HT06, tagging paper, taxonomy, Flickr, academic article, to read
Proceedings of the seventeenth conference on Hypertext and hypermedia
A Comparison of Collaborative-Filtering Recommendation Algorithms for E-commerce
IEEE Intelligent Systems
The folksonomy tag cloud: when is it useful?
Journal of Information Science
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Proceedings of the 2008 ACM symposium on Applied computing
Network properties of folksonomies
AI Communications - Network Analysis in Natural Sciences and Engineering
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Combinational collaborative filtering for personalized community recommendation
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Personalized recommendation in social tagging systems using hierarchical clustering
Proceedings of the 2008 ACM conference on Recommender systems
Recommending scientific articles using citeulike
Proceedings of the 2008 ACM conference on Recommender systems
SheepDog: group and tag recommendation for flickr photos by automatic search-based learning
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Topickr: flickr groups and users reloaded
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Scalable Tensor Decompositions for Multi-aspect Data Mining
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
The dark side of information: overload, anxiety and other paradoxes and pathologies
Journal of Information Science
Collaborative filtering for orkut communities: discovery of user latent behavior
Proceedings of the 18th international conference on World wide web
MM '09 Proceedings of the 17th ACM international conference on Multimedia
IEEE Transactions on Knowledge and Data Engineering
Connecting content to community in social media via image content, user tags and user communication
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Representing and sharing folksonomies with semantics
Journal of Information Science
Social group suggestion from user image collections
Proceedings of the 19th international conference on World wide web
Flickr group recommendation based on tensor decomposition
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
A people-to-people recommendation system using tensor space models
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Recommending Flickr groups with social topic model
Information Retrieval
Context-aware social media recommendation based on potential group
Proceedings of the 1st International Workshop on Context Discovery and Data Mining
Applying latent semantic analysis to tag-based community recommendations
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
SPCF: a stepwise partitioning for collaborative filtering to alleviate sparsity problems
Journal of Information Science
Pairwise learning in recommendation: experiments with community recommendation on linkedin
Proceedings of the 7th ACM conference on Recommender systems
Flickr group recommendation based on user-generated tags and social relations via topic model
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
Hierarchical graph maps for visualization of collaborative recommender systems
Journal of Information Science
A new user similarity model to improve the accuracy of collaborative filtering
Knowledge-Based Systems
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Over the last few years, the social media site Flickr has gained massive popularity. Besides traditional operations on photo sharing, Flickr also offers millions of groups for users to join in order to share photos with others, and the number of groups still increases daily. Choosing among so many options is challenging for users. As such, helping users easily find their desirable groups has become increasingly important. In this paper, we provide a systematic experimental evaluation of several collaborative filtering algorithms to recommend groups for Flickr users. In particular, we design and compare seven Flickr group recommendation models: three memory-based models and four model-based models. Our results suggest that model-based approaches are beneficial compared with memory-based approaches in terms of top-k recommendation metric. Models with tags perform well for sparse data, whereas models without tags are more suitable for dense data. Furthermore, incorporating tags in the recommendation algorithms leads to an improvement of precision on the top 2% performance.