An Improved Retrievability-Based Cluster-Resampling Approach for Pseudo Relevance Feedback

An Improved Retrievability-Based Cluster-Resampling Approach for Pseudo Relevance Feedback

Cluster-based pseudo-relevance feedback (PRF) is an effective approach for searching relevant documents for relevance feedback. Standard approach constructs clusters for PRF only on the basis of high similarity between retrieved documents. The standard approach works quite well if the retrieval bias...

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Bibliographic Details
Main Author: Shariq Bashir
Format: Article
Language:English
Published: MDPI AG 2016-11-01
Series:Computers
Subjects:
document clustering
machine learning
information retrieval
pseudo-relevance feedback
query expansion
retrieval bias
retrievability measure
Online Access:http://www.mdpi.com/2073-431X/5/4/29

Internet

http://www.mdpi.com/2073-431X/5/4/29

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