Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
ÅäÇÈ ¸ðµ¨À» »ç¿ëÇÑ µµ¸ÞÀÎ Á᫐ ÁúÀÇ È®Àå ±â¼ú |
¿µ¹®Á¦¸ñ(English Title) |
Domain Centered Query Expansion Technique using Topic Model |
ÀúÀÚ(Author) |
ÀÌ»óÈÆ
¹®½ÂÁø
Sanghoon Lee
Seung-Jin Moon
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¿ø¹®¼ö·Ïó(Citation) |
VOL 23 NO. 11 PP. 0617 ~ 0624 (2017. 11) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
In the area of Information Retrieval, Query Expansion is a well-known technique that uses external knowledge to increase an inquiry generated by users. However, ambiguous words used in the query decrease the performance of search tools. In this paper, we propose a solution to the above problem, by using domain knowledge which identifies the meaning of words in the query. In particular, we present a domain centered query expansion technique that magnifies a query using domains. By comparing with various query expansion models, we demonstrate that the proposed model performs better than the other models.
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Å°¿öµå(Keyword) |
Á¤º¸°Ë»ö
ÁúÀÇÈ®Àå
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information retrieval
query expansion
topic model
domain
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