The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Information Retrieval
Exploring social annotations for the semantic web
Proceedings of the 15th international conference on World Wide Web
Model-based evaluation of clustering validation measures
Pattern Recognition
Ontologies are us: A unified model of social networks and semantics
Web Semantics: Science, Services and Agents on the World Wide Web
Component Based Approach to Handle Synonym and Polysemy in Folksonomy
CIT '07 Proceedings of the 7th IEEE International Conference on Computer and Information Technology
Tag Meaning Disambiguation through Analysis of Tripartite Structure of Folksonomies
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Tagsplanations: explaining recommendations using tags
Proceedings of the 14th international conference on Intelligent user interfaces
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Emergent semantics from folksonomies: a quantitative study
Journal on Data Semantics VI
Learning in efficient tag recommendation
Proceedings of the fourth ACM conference on Recommender systems
A tag recommendation approach based on social semantic web
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
An integrated approach to discover tag semantics
Proceedings of the 2011 ACM Symposium on Applied Computing
Tag-based resource recommendation in social annotation applications
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Efficient Tag Recommendation for Real-Life Data
ACM Transactions on Intelligent Systems and Technology (TIST)
Resource recommendation in social annotation systems: A linear-weighted hybrid approach
Journal of Computer and System Sciences
Semantic disambiguation and contextualisation of social tags
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
User-based collaborative filtering on cross domain by tag transfer learning
Proceedings of the 1st International Workshop on Cross Domain Knowledge Discovery in Web and Social Network Mining
Improving recommendation accuracy based on item-specific tag preferences
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
How annotation styles influence content and preferences
Proceedings of the 24th ACM Conference on Hypertext and Social Media
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Collaborative tagging applications have become a popular tool allowing Internet users to manage online resources with tags. Most collaborative tagging applications permit unsupervised tagging resulting in tag ambiguity in which a single tag has many different meanings and tag redundancy in which several tags have the same meaning. Common metrics for evaluating tag recommenders may overestimate the utility of ambiguous tags or ignore the appropriateness of redundant tags. Ambiguity and redundancy may even burden the user with additional effort by requiring them to clarify an annotation or forcing them to distinguish between highly related items. In this paper we demonstrate that ambiguity and redundancy impede the evaluation and performance of tag recommenders. Five tag recommendation strategies based on popularity, collaborative filtering and link analysis are explored. We use a cluster-based approach to define ambiguity and redundancy and provide extensive evaluation on three real world datasets.