Information navigation on the web by clustering and summarizing query results

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摘要

We report our experience with a novel approach to interactive information seeking that is grounded in the idea of summarizing query results through automated document clustering. We went through a complete system development and evaluation cycle: designing the algorithms and interface for our prototype, implementing them and testing with human users. Our prototype acted as an intermediate layer between the user and a commercial Internet search engine (AltaVista), thus allowing searches of the significant portion of World Wide Web. In our final evaluation, we processed data from 36 users and concluded that our prototype improved search performance over using the same search engine (AltaVista) directly. We also analyzed effects of various related demographic and task related parameters.

论文关键词:Information retrieval,Neural networks,Clustering,Summarization,Relevance feedback,World Wide Web,Internet spiders,Search engines

论文评审过程:Received 10 July 2000, Accepted 19 October 2000, Available online 27 June 2001.

论文官网地址:https://doi.org/10.1016/S0306-4573(00)00062-5