Genetic-based approaches in ranking function discovery and optimization in information retrieval — A framework

Weiguo Fan; Praveen Pathak; Mi Zhou

doi:10.1016/j.dss.2009.04.005

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JOURNAL ARTICLE

Genetic-based approaches in ranking function discovery and optimization in information retrieval — A framework

Weiguo Fan Praveen Pathak Mi Zhou

Year: 2009 Journal: Decision Support Systems Vol: 47 (4)Pages: 398-407 Publisher: Elsevier BV

DOI: 10.1016/j.dss.2009.04.005

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Keywords:

Ranking (information retrieval) Computer science Information retrieval Relevance (law) Ranking SVM Learning to rank Matching (statistics) Rank (graph theory) Task (project management) Data mining Process (computing) Function (biology) Mathematics Statistics

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7.53

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Topics

Information Retrieval and Search Behavior

Physical Sciences → Computer Science → Information Systems

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Genetic-based approaches in ranking function discovery and optimization in information retrieval — A framework

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Citation History

Topics

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