Intelligent information-sharing systems
Communications of the ACM
Personalized information delivery: an analysis of information filtering methods
Communications of the ACM - Special issue on information filtering
Information filtering based on user behavior analysis and best match text retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Reinforcement Learning
A Contextual Term Suggestion Mechanism for Interactive Web Search
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
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This paper proposes a model for dealing with implicit term relationship among terms toward information retrieval, in the context of information retrieval over the Web. Until now various keyword based search engines have been developed to facilitate information retrieval over the Web. However, it can still be difficult to specify appropriate keywords (terms), which are to be provided to the engines to conduct the retrieval. We hypothesize that, although it is not explicitly represented or specified from the user, there can be some (hidden) relationship among the specified terms. Such relationship can be useful to facilitate effective retrieval, since it can work as "between the terms", as in the between the lines in effective reading. Based on this hypothesis, we propose a model for representing the implicit relationship among the specified terms. Our model tries to capture the implicit relationship in terms of semantic aspect, and represents it as a concrete tree structure so that it can be utilized for further processing. Experiments were conducted to investigate the effectiveness of the proposed model in the context of retrieval, and the results are reported.