SIGIR 2020

SIGIR 2020
43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
Event in series	SIGIR
Homepage:	https://sigir.org/sigir2020/
Twitter account:	‎@sigir2020
Submitting link:	https://easychair.org/my/conference?conf=sigir2020
Location
Location:	Xi'an, China
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Important dates
Abstracts:	2020/01/15
Papers:	2020/01/22
Submissions:	2020/01/22
Notification:	2020/04/22
Committees
General chairs:	Yi Chang, Xueqi Cheng, Jimmy Huang
Table of Contents
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Important Dates

Call for Full Papers for SIGIR 2020, Xi’an, China Important dates for full papers:

• Time zone: Anywhere On Earth (AOE)
• Full paper abstracts due: Wed, Jan 15, 2020
• Full papers due: Wed, Jan 22, 2020
• Full paper notifications: Wed, Apr 22, 2020

The annual SIGIR conference is the major international forum for the presentation of new research results, and the demonstration of new systems and techniques, in the broad field of information retrieval (IR). The 43rd ACM SIGIR conference, to be held in Xi'an, China, welcomes contributions related to any aspect of information retrieval and access, including theories and foundations, algorithms and applications, and evaluation and analysis. The conference and program chairs invite those working in areas related to IR to submit high-impact original papers for review.

Committees

General co-Chairs

• Yi Chang, Jilin University, China
• Xueqi Cheng, Chinese Academy of Sciences, China
• Jimmy Huang, York University, Canada

Topics

Relevant topics include, but are not limited to:

• Search and Ranking:
• Research on core IR algorithmic topics, including IR at scale, such as:
• Queries and Query Analysis (e.g., query intent, query understanding, query suggestion and prediction, query representation and reformulation, spoken queries).
• Web Search (e.g., ranking at web scale, link analysis, sponsored search, search advertising, adversarial search and spam, vertical search).
• Retrieval Models and Ranking (e.g., ranking algorithms, learning to rank, language models, retrieval models, combining searches, diversity and aggregated search).
• Efficiency and Scalability (e.g., indexing, crawling, compression, search engine architecture, distributed search, metasearch, peer-to-peer search, search in the cloud).