Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fab: content-based, collaborative recommendation
Communications of the ACM
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Beyond lexical units: enriching wordnets with phrasets
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
Improved annotation of the blogosphere via autotagging and hierarchical clustering
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
Explorations in tag suggestion and query expansion
Proceedings of the 2008 ACM workshop on Search in social media
Exploiting Additional Context for Graph-Based Tag Recommendations in Folksonomy Systems
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Efficient Tag Recommendation for Real-Life Data
ACM Transactions on Intelligent Systems and Technology (TIST)
A simple word trigger method for social tag suggestion
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Probabilistic approaches to tag recommendation in a social bookmarking network
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
Folksonomy-Based Term Extraction for Word Cloud Generation
ACM Transactions on Intelligent Systems and Technology (TIST)
Content-based and collaborative techniques for tag recommendation: an empirical evaluation
Journal of Intelligent Information Systems
Content-Based Semantic Tag Ranking for Recommendation
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Learning topical translation model for microblog hashtag suggestion
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Tag recommendation for social bookmarking: Probabilistic approaches
Multiagent and Grid Systems - Principles and Practice of Multi-Agent Systems
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This paper proposes a novel approach to automatic tag recommendation for weblogs/blogs. It makes use of collective intelligence extracted from Web 2.0 collaborative tagging as well as word semantics to learn how to predict the best set of tags to use, using a hybrid artificial neural network (ANN). The use of "tags" has recently become very popular as a mean of annotating and organizing everything on the web, from photos, videos and music to blogs. Unfortunately, tagging is a manual process and limited to the users' own knowledge and experience. There may be more accurate or popular tags to describe the same content. Collaborative tagging is a recent technology that creates collective intelligence by observing how different users tag similar content. Our research makes use of this collective intelligence to automatically generate tag suggestions to blog authors based on the semantic content of blog entries.