GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluation of Item-Based Top-N Recommendation Algorithms
Proceedings of the tenth international conference on Information and knowledge management
Modern Information Retrieval
IEEE Transactions on Knowledge and Data Engineering
Tracking multiple topics for finding interesting articles
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning a Maximum Margin Subspace for Image Retrieval
IEEE Transactions on Knowledge and Data Engineering
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Proceedings of the 2008 ACM symposium on Applied computing
Flickr tag recommendation based on collective knowledge
Proceedings of the 17th international conference on World Wide Web
Tag-based social interest discovery
Proceedings of the 17th international conference on World Wide Web
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Integrating tags in a semantic content-based recommender
Proceedings of the 2008 ACM conference on Recommender systems
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
Reasonable tag-based collaborative filtering for social tagging systems
Proceedings of the 2nd ACM workshop on Information credibility on the web
A hybrid approach to item recommendation in folksonomies
Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval
Evaluating similarity measures for emergent semantics of social tagging
Proceedings of the 18th international conference on World wide web
Tagommenders: connecting users to items through tags
Proceedings of the 18th international conference on World wide web
Personalized tag recommendation using graph-based ranking on multi-type interrelated objects
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Discriminant Locally Linear Embedding With High-Order Tensor Data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Improving recommendations using WatchingNetworks in a social tagging system
Proceedings of the 2011 iConference
A local information passing clustering algorithm for tagging systems
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
Topic-based ranking in Folksonomy via probabilistic model
Artificial Intelligence Review
Using rich social media information for music recommendation via hypergraph model
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section on ACM multimedia 2010 best paper candidates, and issue on social media
On kernel information propagation for tag clustering in social annotation systems
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
Personalized book recommendations created by using social media data
WISS'10 Proceedings of the 2010 international conference on Web information systems engineering
TOAST: a topic-oriented tag-based recommender system
WISE'11 Proceedings of the 12th international conference on Web information system engineering
Resource recommendation in social annotation systems: A linear-weighted hybrid approach
Journal of Computer and System Sciences
APPECT: an approximate backbone-based clustering algorithm for tags
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
Predicting the ratings of multimedia items for making personalized recommendations
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
BReK12: a book recommender for K-12 users
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
The Tag Genome: Encoding Community Knowledge to Support Novel Interaction
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special Issue on Common Sense for Interactive Systems
Personalized recommendations on books for K-12 readers
Proceedings of the fifth ACM workshop on Research advances in large digital book repositories and complementary media
A group recommender for movies based on content similarity and popularity
Information Processing and Management: an International Journal
Whom to mention: expand the diffusion of tweets by @ recommendation on micro-blogging systems
Proceedings of the 22nd international conference on World Wide Web
A Random Walk Model for Item Recommendation in Social Tagging Systems
ACM Transactions on Management Information Systems (TMIS)
What to read next?: making personalized book recommendations for K-12 users
Proceedings of the 7th ACM conference on Recommender systems
Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts
Proceedings of the 7th ACM international conference on Web search and data mining
A smart TV system with body-gesture control, tag-based rating and context-aware recommendation
Knowledge-Based Systems
A framework for tag-aware recommender systems
Expert Systems with Applications: An International Journal
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Social tagging services allow users to annotate various online resources with freely chosen keywords (tags). They not only facilitate the users in finding and organizing online resources, but also provide meaningful collaborative semantic data which can potentially be exploited by recommender systems. Traditional studies on recommender systems focused on user rating data, while recently social tagging data is becoming more and more prevalent. How to perform resource recommendation based on tagging data is an emerging research topic. In this paper we consider the problem of document (e.g. Web pages, research papers) recommendation using purely tagging data. That is, we only have data containing users, tags, documents and the relationships among them. We propose a novel graph-based representation learning algorithm for this purpose. The users, tags and documents are represented in the same semantic space in which two related objects are close to each other. For a given user, we recommend those documents that are sufficiently close to him/her. Experimental results on two data sets crawled from Del.icio.us and CiteULike show that our algorithm can generate promising recommendations and outperforms traditional recommendation algorithms.