Document Categorization and Query Generation on the World Wide Web Using WebACE
作者: Daniel BoleyMaria GiniRobert GrossEui-Hong (Sam) HanKyle HastingsGeorge KarypisVipin KumarBamshad MobasherJerome Moore
作者单位: 1Department of Computer Science and Engineering, University of Minnesota
刊名: Artificial Intelligence Review, 1999, Vol.13 (5-6), pp.365-391
来源数据库: Springer Nature Journal
DOI: 10.1023/A:1006592405320
关键词: clusteringdivisive partitioninggraph partitioningprincipal component analysisweb documents
原始语种摘要: Abstract(#br)We present WebACE, an agent for exploring and categorizing documents onthe World Wide Web based on a user profile. The heart of the agent is anunsupervised categorization of a set of documents, combined with a processfor generating new queries that is used to search for new relateddocuments and for filtering the resulting documents to extract the onesmost closely related to the starting set. The document categories are notgiven a priori . We present the overall architecture and describe twonovel algorithms which provide significant improvement over HierarchicalAgglomeration Clustering and AutoClass algorithms and form the basis forthe query generation and search component of the agent. We report on theresults of our experiments comparing these new algorithms with...
全文获取路径: Springer Nature  (合作)
影响因子:1.565 (2012)

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