Experiments on incorporating syntactic processing of user queries into a document retrieval strategy
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Language and representation in information retrieval
Language and representation in information retrieval
Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
Personalized information delivery: an analysis of information filtering methods
Communications of the ACM - Special issue on information filtering
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
DEBORA: Developing an Interface to Support Collaboration in a Digital Library
ECDL '00 Proceedings of the 4th European Conference on Research and Advanced Technology for Digital Libraries
Computer
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This paper describes an approach to the design of an information retrieval of providing an search of users. Textual analysis is a part of information treatment systems. Next generation of information systems will rely on collaborative agents for playing a fundamental action in actively searching and finding relevant information in complex systems. The explosive growth of Web sites and Usenet news demands effectives filtering solutions. The access to digital data through WEB servers is facilitated by search engines. A number of Internet search engines provide classified search directories. The aim of the present paper is to suggest a method of filtering based only on the address URL, titles, abstracts. The problem of information searching in texts is mainly a linguistic problem. The objective is to construct a system for access and filtering information with using the model of Noun Phrases (NP). The intensional predicate and NP are used from retrieval, navigations (discrete & continue) and filtering the solutions captured from the WEB.