Difference between revisions of "Improving Retrieval Performance with Wikipedia's Category Knowledge"
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| − | '''Improving Retrieval Performance with Wikipedia's Category Knowledge''' - scientific work related to Wikipedia quality published in 2012, written by Yin Zeng, Wu Lin, Kai Lei and Lian'en Huang. | + | '''Improving Retrieval Performance with Wikipedia's Category Knowledge''' - scientific work related to [[Wikipedia quality]] published in 2012, written by [[Yin Zeng]], [[Wu Lin]], [[Kai Lei]] and [[Lian'en Huang]]. |
== Overview == | == Overview == | ||
| − | For text search systems, the ambiguity of short queries often leads to poor performance. To solve this problem, relevance feedback via query-expansion is considered as one effective technique. However, many methods of relevance feedback barely use the knowledge of search results and the improvement of effectiveness is limited because the knowledge used is limited. In this paper authors try to include Wikipedia's category knowledge to improve the poor retrieval performance. A method of category feedback is proposed, which is based on the information of Wikipedia categories. Categories instead of terms and documents are provided to users for feedback. Finally, an experimental search system is developed which demonstrates the effectiveness of method. | + | For text search systems, the ambiguity of short queries often leads to poor performance. To solve this problem, relevance feedback via query-expansion is considered as one effective technique. However, many methods of relevance feedback barely use the knowledge of search results and the improvement of effectiveness is limited because the knowledge used is limited. In this paper authors try to include [[Wikipedia]]'s category knowledge to improve the poor retrieval performance. A method of category feedback is proposed, which is based on the information of [[Wikipedia categories]]. Categories instead of terms and documents are provided to users for feedback. Finally, an experimental search system is developed which demonstrates the effectiveness of method. |
Revision as of 09:33, 30 May 2019
Improving Retrieval Performance with Wikipedia's Category Knowledge - scientific work related to Wikipedia quality published in 2012, written by Yin Zeng, Wu Lin, Kai Lei and Lian'en Huang.
Overview
For text search systems, the ambiguity of short queries often leads to poor performance. To solve this problem, relevance feedback via query-expansion is considered as one effective technique. However, many methods of relevance feedback barely use the knowledge of search results and the improvement of effectiveness is limited because the knowledge used is limited. In this paper authors try to include Wikipedia's category knowledge to improve the poor retrieval performance. A method of category feedback is proposed, which is based on the information of Wikipedia categories. Categories instead of terms and documents are provided to users for feedback. Finally, an experimental search system is developed which demonstrates the effectiveness of method.
