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Implementation of an Information Retrieval System (ANIRS) with Ranking and Browsing Capabilities

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dc.contributor.author Can, Fazli en_US
dc.contributor.author McCarthy, Kevin en_US
dc.date.accessioned 2008-07-22T19:31:10Z en_US
dc.date.accessioned 2013-07-10T15:06:38Z
dc.date.available 2008-07-22T19:31:10Z en_US
dc.date.available 2013-07-10T15:06:38Z
dc.date.issued 1992-04-01 en_US
dc.date.submitted 2008-03-17 en_US
dc.identifier.uri
dc.identifier.uri http://hdl.handle.net/2374.MIA/197 en_US
dc.description.abstract This report describes an implementation of a cluster based information retrieval system with statistical ranking facilities, ANIRS. ANIRS uses the vector space model to represent the document database. In this model, the database is defined by a document by term, D, matrix. In this matrix, each row represents the terms in a single document and each column represents the documents that contain a single term. In ANIRS, two matching methodologies are allowed: a full database search and a cluster based search. The system uses a natural language query interface. It incorporates suffix stripping for term conglomeration. Two methods of query refinement are used: relevance feedback and document seed searching. Cluster browsing, the ability to look at all the documents in a single cluster, is also implemented. en_US
dc.title Implementation of an Information Retrieval System (ANIRS) with Ranking and Browsing Capabilities en_US
dc.type Text en_US
dc.type.genre Report en_US


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