Personalized information delivery: an analysis of information filtering methods
Communications of the ACM - Special issue on information filtering
An experimental study of factors important in document ranking
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Textual context analysis for information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Exploiting clustering and phrases for context-based information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Latent Semantic Analysis for German Literature Investigation
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
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The paper discusses the potential of the usage of Extended Boolean operations for personalized information delivery on the Internet based on semantic vector representation models. The final goal is the design of an e-commerce portal tracking user's clickstream activity and purchases history in order to offer them personalized information. The emphasis is put on the introduction of dynamic composite user profile constructed by means of extended Boolean operations. The basic binary Boolean operations such as OR, AND and NOT (AND-NOT) and their combinations have been introduced and implemented in variety of ways. An evaluation is presented based on the classic Latent Semantic Indexing method for information retrieval using a text corpus of religious and sacred texts.