论文信息 - New Term Weighting Formulas for the Vector Space Method in Information Retrieval

New Term Weighting Formulas for the Vector Space Method in Information Retrieval

The goal in information retrieval is to enable users to automatically and accurately find data relevant to their queries. One possible approach to this problem i use the vector space model, which models documents and queries as vectors in the term space. The components of the vectors are determined by the term weighting scheme, a function of the frequencies of the terms in the document or query as well as throughout the collection. We discuss popular term weighting schemes and present several new schemes that offer improved performance.

E. Chisholm | T. G. Kolda | T. Kolda | E. Chisholm

[1] Tamara G. Kolda,et al. Limited-memory matrix methods with applications , 1997 .

[2] Claire Cardie,et al. Using clustering and SuperConcepts within SMART: TREC 6 , 1997, Inf. Process. Manag..

[3] C. Buckley,et al. Pivoted Document Length Normalization , 1996, SIGIR 1996.

[4] Chris Buckley,et al. New Retrieval Approaches Using SMART: TREC 4 , 1995, TREC.

[5] Ricardo Baeza-Yates,et al. Information Retrieval: Data Structures and Algorithms , 1992 .

[6] Donna K. Harman,et al. Ranking Algorithms , 1992, Information Retrieval: Data Structures & Algorithms.

[7] Susan T. Dumais,et al. Improving the retrieval of information from external sources , 1991 .

[8] Lynn A. Streeter,et al. Comparing and combining the effectiveness of latent semantic indexing and the ordinary vector space model for information retrieval , 1989, Inf. Process. Manag..

[9] Gerard Salton,et al. Term-Weighting Approaches in Automatic Text Retrieval , 1988, Inf. Process. Manag..

[10] W. Bruce Croft,et al. Using Probabilistic Models of Document Retrieval without Relevance Information , 1979, J. Documentation.

[11] G. H. Nelson,et al. PLACENTAL AND CORD BLOOD LIPIDS: COMPARISON IN A SET OF DOUBLE OVUM TWINS, A STILLBORN AND A LIVE-BORN. , 1965, American journal of obstetrics and gynecology.