Information retrieval by constrained spreading activation in semantic networks
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
Usage patterns of collaborative tagging systems
Journal of Information Science
ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
Tag Recommendations in Folksonomies
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Tag recommendations based on tensor dimensionality reduction
Proceedings of the 2008 ACM conference on Recommender systems
A sparse gaussian processes classification framework for fast tag suggestions
Proceedings of the 17th ACM conference on Information and knowledge management
Learning optimal ranking with tensor factorization for tag recommendation
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
The impact of ambiguity and redundancy on tag recommendation in folksonomies
Proceedings of the third ACM conference on Recommender systems
Latent dirichlet allocation for tag recommendation
Proceedings of the third ACM conference on Recommender systems
Pairwise interaction tensor factorization for personalized tag recommendation
Proceedings of the third ACM international conference on Web search and data mining
Of categorizers and describers: an evaluation of quantitative measures for tagging motivation
Proceedings of the 21st ACM conference on Hypertext and hypermedia
The impact of resource title on tags in collaborative tagging systems
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Learning in efficient tag recommendation
Proceedings of the fourth ACM conference on Recommender systems
Hybrid tag recommendation for social annotation systems
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Factorization Machines with libFM
ACM Transactions on Intelligent Systems and Technology (TIST)
Extending FolkRank with content data
Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web
Topic diversity in tag recommendation
Proceedings of the 7th ACM conference on Recommender systems
Personalized tag recommendation based on generalized rules
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining
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Despite all of the advantages of tags as an easy and flexible information management approach, tagging is a cumbersome task. A set of descriptive tags has to be manually entered by users whenever they post a resource. This process can be simplified by the use of tag recommendation systems. Their objective is to suggest potentially useful tags to the user. We present a hybrid tag recommendation system together with a scalable, highly efficient system architecture. The system is able to utilize user feedback to tune its parameters to specific characteristics of the underlying tagging system and adapt the recommendation models to newly added content. The evaluation of the system on six real-life datasets demonstrated the system’s ability to combine tags from various sources (e.g., resource content or tags previously used by the user) to achieve the best quality of recommended tags. It also confirmed the importance of parameter tuning and content adaptation. A series of additional experiments allowed us to better understand the characteristics of the system and tagging datasets and to determine the potential areas for further system development.