Interactive Information Retrieval: Models, Algorithms, and Evaluation

被引:1
作者
Zhai, ChengXiang [1 ]
机构
[1] Univ Illinois, Urbana, IL 61801 USA
来源
SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL | 2021年
关键词
Interactive information retrieval; mathematical models of retrieval; search engines; user interaction;
D O I
10.1145/3404835.3462811
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Since Information Retrieval (IR) is an interactive process in general, it is important to study Interactive Information Retrieval (IIR), where we would attempt to model and optimize an entire interactive retrieval process (rather than a single query) with consideration of many different ways a user can potentially interact with a search engine. This tutorial systematically reviews the progress of research in IIR with an emphasis on the most recent progress in the development of models, algorithms, and evaluation strategies for IIR, ending with a brief discussion of the major open challenges in IIR and some of the most promising future research directions.
引用
收藏
页码:2662 / 2665
页数:4
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