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An Effective Recall-Oriented Information Retrieval System Evaluation
- Song, Justin JongSu;
- Lim, Jiyoung;
- Eom, Chris Soo-Hyun;
- Lee, Wookey
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0초록
The objective recall-oriented retrieval tasks such as patent retrieval, legal search, and e-Discovery is to find all relevant documents. These information retrieval tasks are usually conducted by the domain experts so the retrieval cost might be high. However, the existing evaluationmetrics for recall-oriented retrieval tasks have obvious limitations which consider only high recall value. If the relevant documents are at the lower position in the total ranked result, the user should check the whole result up to the end. Therefore, the evaluation measure for recall-oriented retrieval tasks is strongly required reducing the review efforts. In this paper, we study the feature of the various evaluation metrics according to the ranks of the query result in the recall-oriented retrieval tasks.
키워드
- 제목
- An Effective Recall-Oriented Information Retrieval System Evaluation
- 저자
- Song, Justin JongSu; Lim, Jiyoung; Eom, Chris Soo-Hyun; Lee, Wookey
- 발행일
- 2019
- 유형
- Proceedings Paper
- 저널명
- BIG DATA APPLICATIONS AND SERVICES 2017
- 권
- 770
- 페이지
- 43 ~ 49