Difference between revisions of "Interactive Retrieval based on Wikipedia Concepts"

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'''Interactive Retrieval based on Wikipedia Concepts''' - scientific work related to Wikipedia quality published in 2014, written by Lanbo Zhang.
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'''Interactive Retrieval based on Wikipedia Concepts''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Lanbo Zhang]].
  
 
== Overview ==
 
== Overview ==
This paper presents a new user feedback mechanism based on Wikipedia concepts for interactive retrieval. In this mechanism, the system presents to the user a group of Wikipedia concepts, and the user can choose those relevant to refine his/her query. To realize this mechanism, authors propose methods to address two problems: 1) how to select a small number of possibly relevant Wikipedia concepts to show the user, and 2) how to re-rank retrieved documents given the user-identified Wikipedia concepts. Authors methods are evaluated on three TREC data sets. The experiment results show that methods can dramatically improve retrieval performances.
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This paper presents a new user feedback mechanism based on [[Wikipedia]] concepts for interactive retrieval. In this mechanism, the system presents to the user a group of Wikipedia concepts, and the user can choose those relevant to refine his/her query. To realize this mechanism, authors propose methods to address two problems: 1) how to select a small number of possibly relevant Wikipedia concepts to show the user, and 2) how to re-rank retrieved documents given the user-identified Wikipedia concepts. Authors methods are evaluated on three TREC data sets. The experiment results show that methods can dramatically improve retrieval performances.

Revision as of 08:40, 9 June 2020

Interactive Retrieval based on Wikipedia Concepts - scientific work related to Wikipedia quality published in 2014, written by Lanbo Zhang.

Overview

This paper presents a new user feedback mechanism based on Wikipedia concepts for interactive retrieval. In this mechanism, the system presents to the user a group of Wikipedia concepts, and the user can choose those relevant to refine his/her query. To realize this mechanism, authors propose methods to address two problems: 1) how to select a small number of possibly relevant Wikipedia concepts to show the user, and 2) how to re-rank retrieved documents given the user-identified Wikipedia concepts. Authors methods are evaluated on three TREC data sets. The experiment results show that methods can dramatically improve retrieval performances.