Difference between revisions of "Improving Query Expansion for Information Retrieval Using Wikipedia"

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'''Improving Query Expansion for Information Retrieval Using Wikipedia''' - scientific work related to Wikipedia quality published in 2015, written by Lixin Gan and Huan Hong.
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'''Improving Query Expansion for Information Retrieval Using Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2015, written by [[Lixin Gan]] and [[Huan Hong]].
  
 
== Overview ==
 
== Overview ==
Query expansion (QE) is one of the key technologies to improve retrieval efficiency. Many studies on query expansion with relationships from single local corpus suffer from two problems resulting in low retrieval performance: term relationships are limited and unlisted query terms have no expansion terms. To address these problems, relationships between terms captured from Wikipedia are superimposed to the basic Markov network that pre-built using single local corpus. A new larger Markov network is formed with more and richer relationship for each term. Evaluation is performed on three standard information retrieval corpuses including ADI, CISI and CACM.Experimental results show that the proposed technique of superimposed Markov network is effective to select more and confident candidatesfor query expansion and it outperforms other state-of-the-art QE methods.
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Query expansion (QE) is one of the key technologies to improve retrieval efficiency. Many studies on query expansion with relationships from single local corpus suffer from two problems resulting in low retrieval performance: term relationships are limited and unlisted query terms have no expansion terms. To address these problems, relationships between terms captured from [[Wikipedia]] are superimposed to the basic Markov network that pre-built using single local corpus. A new larger Markov network is formed with more and richer relationship for each term. Evaluation is performed on three standard [[information retrieval]] corpuses including ADI, CISI and CACM.Experimental results show that the proposed technique of superimposed Markov network is effective to select more and confident candidatesfor query expansion and it outperforms other state-of-the-art QE methods.

Latest revision as of 08:50, 11 February 2020

Improving Query Expansion for Information Retrieval Using Wikipedia - scientific work related to Wikipedia quality published in 2015, written by Lixin Gan and Huan Hong.

Overview

Query expansion (QE) is one of the key technologies to improve retrieval efficiency. Many studies on query expansion with relationships from single local corpus suffer from two problems resulting in low retrieval performance: term relationships are limited and unlisted query terms have no expansion terms. To address these problems, relationships between terms captured from Wikipedia are superimposed to the basic Markov network that pre-built using single local corpus. A new larger Markov network is formed with more and richer relationship for each term. Evaluation is performed on three standard information retrieval corpuses including ADI, CISI and CACM.Experimental results show that the proposed technique of superimposed Markov network is effective to select more and confident candidatesfor query expansion and it outperforms other state-of-the-art QE methods.