Personalized Web Retrieval: Three Agents for Retrieving Web Information

  • Jieh Hsiang
  • Hsieh-Chang Tu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1599)

Abstract

As information available over the Web grows, so does the need for more effective retrieval tools. In this paper we describe three information retrieval agents currently being developed at the National Taiwan University. While each agent serves a different purpose, they share the common feature of incorporating the need of the users. In other words, all three agents offer personalized services. The first agent is an IR agent that utilizes categorical information to assist a user find relevant Web pages. The second one is a website browsing agent which provides various services in an integrated interface to help a user navigate through a content-rich website. The third is designed to help users find on-line papers in computer science.

This research is partly supported by grant NSC 87-2213-E-002-012 of the National Science Council of the Republic of China.

Keywords

Search Engine Relevance Feedback User Query User History Personal Category 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Jieh Hsiang
    • 1
  • Hsieh-Chang Tu
    • 2
  1. 1.Department of Computer ScienceNational Chi-Nan UniversityPuli TantouTaiwan
  2. 2.Department of Computer ScienceNational Taiwan UniversityTaipeiTaiwan

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