Rough sets and information retrieval
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
An adaptive Web page recommendation service
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Vocabulary mining for information retrieval: rough sets and fuzzy sets
Information Processing and Management: an International Journal
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Context-aware system for proactive personalized service based on context history
Expert Systems with Applications: An International Journal
A new customized document categorization scheme using rough membership
Applied Soft Computing
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Due to the large repository of documents available on the web, users are usually inundated by a large volume of information most of which are found to be irrelevant. Since user perspectives vary, a client-side text filtering system that learns the user's perspective can reduce the problem of irrelevant retrieval. In this paper, we have provided the design of a customized text information filtering system which learns user preferences and uses a rough-fuzzy reasoning scheme to filter out irrelevant documents. The rough set based reasoning takes care of natural language nuances like synonym handling, very elegantly. The fuzzy decider provides qualitative grading to the documents for the user's perusal. We have provided the detailed design of the various modules and some results related to the performance analysis of the system.