User interactions with everyday applications as context for just-in-time information access
Proceedings of the 5th international conference on Intelligent user interfaces
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Personalized Web Search For Improving Retrieval Effectiveness
IEEE Transactions on Knowledge and Data Engineering
Probabilistic model for contextual retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Using probabilistic latent semantic analysis for personalized web search
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Progress in information retrieval
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
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The purpose of contextual information retrieval is to make some exploration towards designing user specific search engines that are able to adapt the retrieval model to the variety of differences on user's contexts. In this paper we propose an influence diagram based retrieval model which is able to incorporate contexts, viewed as user's long-term interests into the retrieval process.