An effective snippet generation method using the pseudo relevance feedback technique

Authors:
Youngjoong Ko;Hongkuk An;Jungyun Seo
Affiliations:
Dong-A University, Busan, South Korea;Sogang University, Seoul, South Korea;Sogang University, Seoul, South Korea
Venue:
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2007

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Abstract

A (page or web) snippet is document excerpts allowing a user to understand if a document is indeed relevant without accessing it. This paper proposes an effective snippet generation method. The pseudo relevance feedback technique and text summarization techniques are applied to salient sentences extraction for generating good quality snippets. In the experimental results, the proposed method showed much better performance than other methods including Google and Naver.