Fuzzy Based Approach to Develop Hybrid Ranking Function for Efficient Information Retrieval

Ashish Saini; Yogesh Gupta; Ajay Kumar Saxena

doi:10.1007/978-3-319-11218-3_42

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Fuzzy Based Approach to Develop Hybrid Ranking Function for Efficient Information Retrieval

Ashish Saini Yogesh Gupta Ajay Kumar Saxena

Year: 2014 Advances in intelligent systems and computing Pages: 471-479 Publisher: Springer Nature

DOI: 10.1007/978-3-319-11218-3_42

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Keywords:

Ranking (information retrieval) Jaccard index Computer science Relevance (law) Information retrieval Benchmark (surveying) Construct (python library) Data mining Ranking SVM Precision and recall Function (biology) Artificial intelligence Pattern recognition (psychology) Geography

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Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Information Retrieval and Search Behavior

Physical Sciences → Computer Science → Information Systems

Web Data Mining and Analysis

Physical Sciences → Computer Science → Information Systems

Fuzzy Based Approach to Develop Hybrid Ranking Function for Efficient Information Retrieval

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Citation History

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