Utilizing Minimal Relevance Feedback for Ad Hoc Retrieval

被引：0
|
作者：
Krikon, Eyal [1 ]
Kurland, Oren [1 ]
机构：
[1] Technion Israel Inst Technol, Fac Ind Engn & Management, IL-32000 Haifa, Israel
来源：
PROCEEDINGS OF THE 34TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR'11) | 2011年
关键词：
language models; passages; relevance feedback;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Using relevance feedback can significantly improve (ad hoc) retrieval effectiveness. Yet, if little feedback is available, effectively exploiting it is a challenge. To that end, we present a novel approach that utilizes document passages. Empirical evaluation demonstrates the merits of the approach.
引用
收藏
页码：1099 / 1100
页数：2
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