Analysis of An Expert Search Query Log

被引：0
|
作者：
Fang, Yi [1 ]
Somasundaram, Naveen [1 ]
Si, Luo [1 ]
Ko, Jeongwoo [2 ]
Mathur, Aditya P. [1 ]
机构：
[1] Purdue Univ, Dept Comp Sci, W Lafayette, IN 47907 USA
[2] Google Inc, Mountain View, CA 94043 USA
来源：
PROCEEDINGS OF THE 34TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR'11) | 2011年
关键词：
Expert Search; Query Log Analysis;
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：
Expert search has made rapid progress in modeling, algorithms and evaluations in the recent years. However, there is very few work on analyzing how users interact with expert search systems. In this paper, we conduct analysis of an expert search query log. The aim is to understand the special characteristics of expert search usage. To the best of our knowledge, this is one of the earliest work on expert search query log analysis. We find that expert search users generally issue shorter queries, more common queries, and use more advanced search features, with fewer queries in a session, than general Web search users do. This study explores a new research direction in expert search by analyzing and exploiting query logs.
引用
收藏
页码：1189 / 1190
页数：2
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