Difference between revisions of "A Wikipedia-Based Query Expansion Method for In-Depth Blog Distillation"
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| − | '''A Wikipedia-Based Query Expansion Method for In-Depth Blog Distillation''' - scientific work related to Wikipedia quality published in 2010, written by Woosang Song, Yeha Lee, Jong-Hyeok Lee and Gijoo Yang. | + | '''A Wikipedia-Based Query Expansion Method for In-Depth Blog Distillation''' - scientific work related to [[Wikipedia quality]] published in 2010, written by [[Woosang Song]], [[Yeha Lee]], [[Jong-Hyeok Lee]] and [[Gijoo Yang]]. |
== Overview == | == Overview == | ||
| − | This paper proposes a Wikipedia-based feedback method for in-depth blog distillation whose goal is to find blogs that represent in-depth thoughts or analysis on a given query. The proposed method uses Wikipedia articles which are relevant to the query. TREC Blogs08 collection which is a large-scale blog corpus and English Wikipedia dump were used for experiments, The proposed method significantly increased the retrieval performance including MAP over the conventional post based feedback method. | + | This paper proposes a [[Wikipedia]]-based feedback method for in-depth blog distillation whose goal is to find blogs that represent in-depth thoughts or analysis on a given query. The proposed method uses Wikipedia articles which are relevant to the query. TREC Blogs08 collection which is a large-scale blog corpus and [[English Wikipedia]] dump were used for experiments, The proposed method significantly increased the retrieval performance including MAP over the conventional post based feedback method. |
Revision as of 07:12, 22 July 2019
A Wikipedia-Based Query Expansion Method for In-Depth Blog Distillation - scientific work related to Wikipedia quality published in 2010, written by Woosang Song, Yeha Lee, Jong-Hyeok Lee and Gijoo Yang.
Overview
This paper proposes a Wikipedia-based feedback method for in-depth blog distillation whose goal is to find blogs that represent in-depth thoughts or analysis on a given query. The proposed method uses Wikipedia articles which are relevant to the query. TREC Blogs08 collection which is a large-scale blog corpus and English Wikipedia dump were used for experiments, The proposed method significantly increased the retrieval performance including MAP over the conventional post based feedback method.
