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
The paraphrase search assistant: terminological feedback for iterative information seeking
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Phrasier: a system for interactive document retrieval using keyphrases
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Case-Based Reasoning in Design
IEEE Expert: Intelligent Systems and Their Applications
Explanation-Based Generalization: A Unifying View
Machine 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
CLEF '00 Revised Papers from the Workshop of Cross-Language Evaluation Forum on Cross-Language Information Retrieval and Evaluation
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
An image based design support system for web page design
International Journal of Knowledge-based and Intelligent Engineering Systems
Relation discovery from web data for competency management
Web Intelligence and Agent Systems
Representing implicit term relationship for information retrieval
ICCOMP'08 Proceedings of the 12th WSEAS international conference on Computers
| Hi-index | 0.00 |
Recent development of the network such as the Internet makes it easy to retrieve documents over the World Wide Web (WWW). Document retrieval with search engines is convenient, especially to retrieve documents for a domain with which a user is not so familiar, since the retrieved documents can be used to get a gross overview of the domain as a preliminary investigation. However, when inappropriate query terms are used, it often results in retrieving too many documents and the retrieved documents have to be scanned by the user him/herself to find out truly valuable ones. This paper proposes a document retrieval support system to reduce such "dual" retrieval by suggesting terms based on the relationship of relevant terms to the specified query terms. Semantic relations of terms are dealt with using a thesaurus and relevant terms for the terms are organized into a tree structure based on the relations defined in the thesaurus. Since the value of retrieved documents is intrinsically user-dependent, even when the same query terms are used, appropriate terms to facilitate document retrieval can vary depending on users. To realize personalization in term suggestion, the relationship of terms for the user is learned from a user-supplied case so that personalized terms can be suggested. A prototype system has been implemented and it is evaluated through experiments. The results of experiments are encouraging and show that it is worth following this path, especially for supporting users who are not yet familiar with the target domain.