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
相关论文
共 23 条
[1]   Building Economic Models and Measures of Search [J].
Azzopardi, Leif ;
Moffat, Alistair ;
Thomas, Paul ;
Zuccon, Guido .
PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19), 2019, :1401-1402
[2]  
Azzopardi Leif, 2018, Economics models of interaction: a tutorial on modeling interaction using economics
[3]  
Carterette Ben, 2015, P 2015 INT C THEOR I, P91, DOI DOI 10.1145/2808194.2809470
[4]   Tutorial on Conversational Recommendation Systems [J].
Fu, Zuohui ;
Xian, Yikun ;
Zhang, Yongfeng ;
Zhang, Yi .
RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, 2020, :751-753
[5]   A probability ranking principle for interactive information retrieval [J].
Fuhr, Norbert .
INFORMATION RETRIEVAL, 2008, 11 (03) :251-265
[6]   Neural Approaches to Conversational AI [J].
Gao, Jianfeng ;
Galley, Michel ;
Li, Lihong .
FOUNDATIONS AND TRENDS IN INFORMATION RETRIEVAL, 2019, 13 (2-3) :127-298
[7]   Bandit Algorithms in Interactive Information Retrieval [J].
Glowacka, Dorota .
ICTIR'17: PROCEEDINGS OF THE 2017 ACM SIGIR INTERNATIONAL CONFERENCE THEORY OF INFORMATION RETRIEVAL, 2017, :327-328
[8]   Online Learning to Rank for Information Retrieval SIGIR 2016 Tutorial [J].
Grotov, Artem ;
de Rijke, Maarten .
SIGIR'16: PROCEEDINGS OF THE 39TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2016, :1215-1218
[9]   Evaluation-as-a-Service for the Computational Sciences: Overview and Outlook [J].
Hopfgartner, Frank ;
Hanbury, Allan ;
Muller, Henning ;
Eggel, Ivan ;
Balog, Krisztian ;
Brodt, Torben ;
Cormack, Gordon V. ;
Lin, Jimmy ;
Kalpathy-Cramer, Jayashree ;
Kando, Noriko ;
Kato, Makoto P. ;
Krithara, Anastasia ;
Gollub, Tim ;
Potthast, Martin ;
Viegas, Evelyne ;
Mercer, Simon .
ACM JOURNAL OF DATA AND INFORMATION QUALITY, 2018, 10 (04)
[10]   OpenSearch: Lessons Learned from an Online Evaluation Campaign [J].
Jagerman, Rolf ;
Balog, Krisztian ;
De Rijke, Maarten .
ACM JOURNAL OF DATA AND INFORMATION QUALITY, 2018, 10 (03)