ERIC Number: ED459819
Record Type: Non-Journal
Publication Date: 2001-Jun
Reference Count: N/A
Personalized Spiders for Web Search and Analysis.
Chau, Michael; Zeng, Daniel; Chen, Hsinchun
Searching for useful information on the World Wide Web has become increasingly difficult. While Internet search engines have been helping people to search on the Web, low recall rate and outdated indexes have become more and more problematic as the Web grows. In addition, search tools usually present to the user only a list of search results, failing to provide further personalized analysis which could help users identify useful information and comprehend these results. To alleviate these problems, the authors propose a client-based architecture that incorporates noun phrasing and self-organizing map techniques. Two systems, namely CI Spider and Meta Spider, have been built based on this architecture. User evaluation studies have been conducted and the findings suggest that the proposed architecture can effectively facilitate Web search and analysis. (Contains 23 references.) (Author)
Descriptors: Information Retrieval, Information Systems, Internet, Online Searching, Search Strategies, User Needs (Information), World Wide Web
Association for Computing Machinery, 1515 Broadway, New York NY 10036. Tel: 800-342-6626 (Toll Free); Tel: 212-626-0500; e-mail: email@example.com. For full text: http://www1.acm.org/pubs/contents/proceedings/dl/379437/.
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Sponsor: National Science Foundation, Arlington, VA. Directorate for Computer and Information Science and Engineering.
Authoring Institution: N/A