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 46th ACM SIGIR conference, will be run as a hybrid conference – in person in Taiwan, with support for remote participation, from July 23rd to 27th, 2023.

The SIGIR Symposium on IR in Practice (SIRIP) 2023 will be held as part of ACM SIGIR 2023, onsite (in Taipei, Taiwan) and online. We aim to provide an opportunity for researchers, engineers, practitioners, analysts and consumers to meet and discuss the latest and greatest Information Retrieval (IR) technologies as deployed in companies, big and small, and to be the premier forum for knowledge sharing across the boundary between academia and industry.

Important Dates

Time zone: Anywhere on Earth(AoE)
SIRIP Paper due: Feb 21, 2023
SIRIP Notifications: March 31, 2023
SIRIP Camera ready: April 26, 2023
SIRIP Days: July 24-26, 2023

Proposals Guidelines

We solicit position papers & talk proposals for SIRIP talks in the following categories:

    • Open problems and challenges in industry
    • Novel applications of IR/Recsys/NLP/Multimodal learning systems, and complex user interaction modeling in real-world situations
    • Innovative approaches used in deployed systems and products. We also encourage presentations from small companies, especially startups or spin-offs from either a university project or a large company. Papers discussing domain specific challenges are also welcome.
    • Position papers on the current and future state of IR in practice, and the role IR could play in shaping the next generation of information access systems. 
    • Building IR systems with an emphasis on trust and safety: Combating misinformation spread; Building privacy preserving retrieval systems; Algorithmic responsibility & fairness.
    • Role of search & IR in remote & virtual settings
    • Role of search & IR in the creator economy (e.g. short video platforms, audio platforms) & marketplaces (e.g. delivery services, hospitality industry, crowdfunding platforms, retail platforms, rentals)
    • System design case-studies from industry practitioners, identifying best practices and design principles for learning systems, scalability aspects
    • Metrics and measurement techniques used at scale to understand performance of industrial systems. Success in achieving offline/online evaluation consistency
    • Presentations creating a connection with academia to solve interesting problems, including presentations from academics spending time in industry, or vice-versa, covering insights for other practitioners
    • Industrial research success stories: from research to production


Presentation proposals should be 2-4 pages (excluding references) and follow the ACM format. Formatting guidelines are available at this ACM publication site (use the ˮsigconf” proceedings template). Please include:

    • Title, abstract, main body of proposal
    • A brief company portrait (~60 words)
    • A short bio of the main presenter (~100 words)
    • Please do NOT submit a sales pitch

We also solicit panel discussion proposals in the above categories. Panel proposals should be 1-2 pages and include:

    • Panel title, description, proposed moderator (with a short CV), topics of discussion, and a list or potential profiles of proposed panelists. We strongly encourage a diverse slate of candidates for panelists and moderators.

Proposals should be submitted electronically via Easy Chair:

Presentation and Publication

The presentation format of the Symposium will be decided based on submissions and interest to the wider community, and is likely to be a mix of short and long presentations as well as panels. A condition of acceptance is that at least one author commits to attend SIRIP 2023 (in-person or virtual) to present the work. The authors of accepted proposals will be invited to submit a camera ready copy to be included in the proceedings.

SIRIP co-chairs

    • Tracy Holloway King, Adobe
    • Emine Yilmaz, University College London
    • Zhao-Yan Ming, ZUCC