A Comparative Study of Answer-Contained Snippets and Traditional Snippets

详细信息    查看全文

• 关键词：Answer ; contained snippet ; Quantitative study ; cQA ; Information retrieval
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9994
• 期：1
• 页码：56-67
• 丛书名：Information Retrieval Technology
• ISBN：978-3-319-48051-0
• 卷排序：9994

文摘

Almost every text search engine uses snippets to help users quickly assess the relevance of retrieved items in the ranked list. Although answer-contained snippets can help to improve the effectiveness of search intuitively, quantitative study of such intuition remains untouched. In this paper, we first propose a simple answer-contained snippet method for community-based Question and Answer (cQA) search, and then compare our method with the state-of-the-art traditional snippet algorithms. The experimental results show that the answer-contained snippet method significantly outperforms the state-of-the-art traditional methods, considering relevance judgements and information satisfaction evaluations.