New assessment criteria for query suggestion

Zhongrui Ma, Yu Chen, Ruihua Song, Tetsuya Sakai, Jiaheng Lu, Ji Rong Wen

研究成果: Conference contribution

2 引用 (Scopus)

抜粋

Query suggestion is a useful tool to help users express their information needs by supplying alternative queries. When evaluating the effectiveness of query suggestion algorithms, many previous studies focus on measuring whether a suggestion query is relevant or not to the input query. This assessment criterion is too simple to describe users' requirements. In this paper, we introduce two scenarios of query suggestion. The first scenario represents cases where the search result of the input query is unsatisfactory. The second scenario represents cases where the search result is satisfactory but the user may be looking for alternative solutions. Based on the two scenarios, we propose two assessment criteria. Our labeling results indicate that the new assessment criteria provide finer distinctions among query suggestions than the traditional relevance-based criterion.

元の言語English
ホスト出版物のタイトルSIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval
ページ1109-1110
ページ数2
DOI
出版物ステータスPublished - 2012 9 28
外部発表Yes
イベント35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012 - Portland, OR, United States
継続期間: 2012 8 122012 8 16

出版物シリーズ

名前SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval

Conference

Conference35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012
United States
Portland, OR
期間12/8/1212/8/16

ASJC Scopus subject areas

  • Information Systems

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  • これを引用

    Ma, Z., Chen, Y., Song, R., Sakai, T., Lu, J., & Wen, J. R. (2012). New assessment criteria for query suggestion. : SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1109-1110). (SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval). https://doi.org/10.1145/2348283.2348493