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
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Vocabulary mining for information retrieval: rough sets and fuzzy sets
Information Processing and Management: an International Journal
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
A Rough Set-Aided System for Sorting WWW Bookmarks
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
The Variable Precision Rough Set Model for Web Usage Mining
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
A Rough Set-Based Hybrid Method to Text Categorization
WISE '01 Proceedings of the Second International Conference on Web Information Systems Engineering (WISE'01) Volume 1 - Volume 1
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
Rough: fuzzy reasoning for customized text information retrieval
AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Web mining in soft computing framework: relevance, state of the art and future directions
IEEE Transactions on Neural Networks
Personalized mining of web documents using link structures and fuzzy concept networks
Applied Soft Computing
Context-aware system for proactive personalized service based on context history
Expert Systems with Applications: An International Journal
Story Visualization of Literary Works: How a Computer Reads Shakespeare's Plays
Journal of Visualization
A coarse-to-fine framework to efficiently thwart plagiarism
Pattern Recognition
International Journal of Approximate Reasoning
Story visualization of novels with multi-theme keyword density analysis
Journal of Visualization
Stereoscopic story visualization in literary works demonstrated by Shakespeare's plays
Journal of Visualization
Information Sciences: an International Journal
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One of the problems that plague document ranking is the inherent ambiguity, which arises due to the nuances of natural language. Though two documents may contain the same set of words, their relevance may be very different to a single user, since the context of the words usually determines the relevance of a document. Context of a document is very difficult to model mathematically other than through user preferences. Since it is difficult to perceive all possible user interests a priori and install filters for the same at the server side, we propose a rough-set-based document filtering scheme which can be used to build customized filters at the user end. The documents retrieved by a traditional search engine can then be filtered automatically by this agent and the user is not flooded with a lot of irrelevant material. A rough-set-based classificatory analysis is used to learn the user's bias for a category of documents. This is then used to filter out irrelevant documents for the user. To do this we have proposed the use of novel rough membership functions for computing the membership of a document to various categories.