GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
A Triadic Approach to Formal Concept Analysis
ICCS '95 Proceedings of the Third International Conference on Conceptual Structures: Applications, Implementation and Theory
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Item-based top-N recommendation algorithms
ACM Transactions on Information Systems (TOIS)
Link fusion: a unified link analysis framework for multi-type interrelated data objects
Proceedings of the 13th international conference on World Wide Web
Proceedings of the 15th international conference on World Wide Web
AutoTag: a collaborative approach to automated tag assignment for weblog posts
Proceedings of the 15th international conference on World Wide Web
The Benefit of Using Tag-Based Profiles
LA-WEB '07 Proceedings of the 2007 Latin American Web Conference
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Proceedings of the 2008 ACM symposium on Applied computing
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Ontologies are us: a unified model of social networks and semantics
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Trend detection in folksonomies
SAMT'06 Proceedings of the First international conference on Semantic and Digital Media Technologies
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Cubic analysis of social bookmarking for personalized recommendation
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
A finite state model for on-line analytical processing in triadic contexts
ICFCA'05 Proceedings of the Third international conference on Formal Concept Analysis
Learning optimal ranking with tensor factorization for tag recommendation
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Cross-tagging for personalized open social networking
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Testing and evaluating tag recommenders in a live system
Proceedings of the third ACM conference on Recommender systems
Tagging stream data for rich real-time services
Proceedings of the VLDB Endowment
Topic-based web page recommendation using tags
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Pairwise interaction tensor factorization for personalized tag recommendation
Proceedings of the third ACM international conference on Web search and data mining
Speak the same language with your friends: augmenting tag recommenders with social relations
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Automatic tag expansion using visual similarity for photo sharing websites
Multimedia Tools and Applications
Temporal recommendation on graphs via long- and short-term preference fusion
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
LDA for on-the-fly auto tagging
Proceedings of the fourth ACM conference on Recommender systems
Factorization models for context-/time-aware movie recommendations
Proceedings of the Workshop on Context-Aware Movie Recommendation
Collaborative filtering in social tagging systems based on joint item-tag recommendations
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Ontology emergence from folksonomies
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
The social bookmark and publication management system bibsonomy
The VLDB Journal — The International Journal on Very Large Data Bases
Low-order tensor decompositions for social tagging recommendation
Proceedings of the fourth ACM international conference on Web search and data mining
Folksonomy-boosted social media search and ranking
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
A unified framework for recommendations based on quaternary semantic analysis
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Latent subject-centered modeling of collaborative tagging: An application in social search
ACM Transactions on Management Information Systems (TMIS)
Leveraging collaborative filtering to tag-based personalized search
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
A comparison of content-based tag recommendations in folksonomy systems
KONT'07/KPP'07 Proceedings of the First international conference on Knowledge processing and data analysis
A supervised machine learning link prediction approach for tag recommendation
OCSC'11 Proceedings of the 4th international conference on Online communities and social computing
Folksonomy-based personalized search and ranking in social media services
Information Systems
Personalized PageRank vectors for tag recommendations: inside FolkRank
Proceedings of the fifth ACM conference on Recommender systems
Ontology Learning from User Tagging for Tag Recommendation Making
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Social media filtering based on collaborative tagging in semantic space
Multimedia Tools and Applications
A semantic model for social recommender systems
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
A simple word trigger method for social tag suggestion
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Semi-supervised tag recommendation - using untagged resources to mitigate cold-start problems
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
HMM-CARe: Hidden Markov Models for context-aware tag recommendation in folksonomies
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Predicting semantic annotations on the real-time web
Proceedings of the 23rd ACM conference on Hypertext and social media
Folksonomy-Based Term Extraction for Word Cloud Generation
ACM Transactions on Intelligent Systems and Technology (TIST)
Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web
Bringing the associative ability to social tag recommendation
TextGraphs-7 '12 Workshop Proceedings of TextGraphs-7 on Graph-based Methods for Natural Language Processing
Tag recommendation for large-scale ontology-based information systems
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part II
Personalization in tag ontology learning for recommendation making
Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services
Folksonomy link prediction based on a tripartite graph for tag recommendation
Journal of Intelligent Information Systems
Living analytics methods for the web observatory
Proceedings of the 22nd international conference on World Wide Web companion
A Random Walk Model for Item Recommendation in Social Tagging Systems
ACM Transactions on Management Information Systems (TMIS)
Leveraging biosignal and collaborative filtering for context-aware recommendation
Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare
An analysis of tag-recommender evaluation procedures
Proceedings of the 7th ACM conference on Recommender systems
Social semantic query expansion
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Learning personalized tag ontology from user tagging information
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
Towards effective course-based recommendations for public tenders
International Journal of Knowledge and Web Intelligence
Learning topical translation model for microblog hashtag suggestion
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Tag recommendation for open source software
Frontiers of Computer Science: Selected Publications from Chinese Universities
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Collaborative tagging systems allow users to assign keywords - so called “tags” - to resources. Tags are used for navigation, finding resources and serendipitous browsing and thus provide an immediate benefit for users. These systems usually include tag recommendation mechanisms easing the process of finding good tags for a resource, but also consolidating the tag vocabulary across users. In practice, however, only very basic recommendation strategies are applied. In this paper we evaluate and compare several recommendation algorithms on large-scale real life datasets: an adaptation of user-based collaborative filtering, a graph-based recommender built on top of the FolkRank algorithm, and simple methods based on counting tag occurrences. We show that both FolkRank and collaborative filtering provide better results than non-personalized baseline methods. Moreover, since methods based on counting tag occurrences are computationally cheap, and thus usually preferable for real time scenarios, we discuss simple approaches for improving the performance of such methods. We show, how a simple recommender based on counting tags from users and resources can perform almost as good as the best recommender.