Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Information retrieval
The effect of adding relevance information in a relevance feedback environment
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Document filtering with inference networks
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
ICOMA: An Open Infrastructure for Agent-based Intelligent Electronic Commerce on the Internet
ICPADS '97 Proceedings of the 1997 International Conference on Parallel and Distributed Systems
Term Weighting Approaches in Automatic Text Retrieval
Term Weighting Approaches in Automatic Text Retrieval
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Proactive Supply-Chain Event Management with Agent Technology
International Journal of Electronic Commerce
International Journal of Electronic Commerce
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With the recent advent of widespread, cheap, reliable, and easy access to the Internet via the World Wide Web, information-processing is moving away from an expensive, document-based, paper-oriented approach to a faster, cheaper, electronic, Internet-based approach. Electronic commerce on the Internet is increasing at an explosive rate. Nonetheless, the spread of E-commerce is hindered by the Web's huge and diffusive extent, its distributed and heterogeneous markets, and the heavy user load entailed in finding and purchasing products. As the amount of electronic data increases, it becomes burdensome for users to find what they want. There are many search systems designed to solve these problems, but none is able to adapt and filter information for the individual user. The authors have designed a new product-finding agent named I-SEE (Intelligent SEarching AgEnt for Electronic Commerce). It is an autonomous product-finding and -filtering system that supports users from requirement acquisition to supplying specific product information.