Implicit feedback for inferring user preference: a bibliography
ACM SIGIR Forum
Personalizing search via automated analysis of interests and activities
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Learning user interaction models for predicting web search result preferences
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Summarizing local context to personalize global web search
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Exploring folksonomy for personalized search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Web search personalization via social bookmarking and tagging
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Personalizing web search with folksonomy-based user and document profiles
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
| Hi-index | 0.00 |
This work exploits folksonomy for building User Interest Profile (UIP) based on user's search history. UIP is an indispensable source of knowledge which can be exploited by intelligent systems for query recommendation, personalized search, and web search result ranking etc. A UIP consist of a clustered list of concepts and their weights. We show how to design, implement, and visualize such a system, in practice, which aids in finding interesting relationships between concepts and detect outliers, if any. The experiment reveals that UIP not only captures user interests but also its context and results are very promising.