Algorithms for association rule mining — a general survey and comparison
ACM SIGKDD Explorations Newsletter
AutoTag: a collaborative approach to automated tag assignment for weblog posts
Proceedings of the 15th international conference on World Wide Web
P-TAG: large scale automatic generation of personalized annotation tags for the web
Proceedings of the 16th international conference on World Wide Web
Personalized, interactive tag recommendation for flickr
Proceedings of the 2008 ACM conference on Recommender systems
User Modeling and User-Adapted Interaction
Digimatge, a rich internet application for video retrieval from a multimedia asset management system
Proceedings of the international conference on Multimedia information retrieval
The experience of photologging: global mechanisms and local interactions
Personal and Ubiquitous Computing
Proceedings of the ACM International Conference on Image and Video Retrieval
Proceedings of the fifth ACM international conference on Web search and data mining
Tripartite hidden topic models for personalised tag suggestion
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Tag recommendation by machine learning with textual and social features
Journal of Intelligent Information Systems
Hi-index | 0.00 |
We present a system for personalized tag suggestion for Flickr: While the user is entering/selecting new tags for a particular picture, the system is suggesting related tags to her, based on the tags that she or other people have used in the past along with (some of) the tags already entered. The suggested tags are dynamically updated with every additional tag entered/selected. We describe three algorithms which can be applied to this problem. In experiments, our best-performing method yields an improvement in precision of 10-15% over a baseline method very similar to the system currently used by Flickr. Our system is accessible at http://ltaa5.epfl.ch/flickr-tags/. To the best of our knowledge, this is the first study on tag suggestion in a setting where (i) no full text information is available, such as for blogs, (ii) no item has been tagged by more than one person, such as for social bookmarking sites, and (iii) suggestions are dynamically updated, requiring efficient yet effective algorithms.