2026 SIGIR Workshop On eCommerce (SIGIR eCom '26) The SIGIR Workshop on eCommerce will serve as a platform for publication and discussion of Information Retrieval, NLP, and Computer Vision research relative to their applications in the domain of eCommerce. This workshop will bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to product search and recommendation in eCommerce. *The deadline for paper submission is April 27, 2026 (11:59 P.M. AoE)* The special theme of eCom '26 is *User Interaction and Experience: Agentic-driven Trends.* SIGIR eCom is a full day workshop taking place on Friday, July 24, 2026 in conjunction with SIGIR 2026. SIGIR eCom'26 will be an in-person workshop. ________________________________________________________________________________________________________________________________ Important Details Paper submission deadline - April 27, 2026 (11:59 P.M. AoE) Notification of acceptance - May 21, 2026 Camera ready version of papers due - June 15, 2026 SIGIR eCom Full day Workshop - July 24, 2026 Venue: SIGIR 2026 <https://sigir2026.org/en-AU> (Melbourne, Australia) Website: https://sigir-ecom.github.io/ <https://sigir-ecom.github.io/> Topics Topics of interest include, but are not limited to: - User Interaction and Experience: Agentic-driven Trends (2026 special theme) - Agentic search, browsing, and discovery experiences in eCommerce - Trade-offs between accuracy, cost, latency, and scalability in agentic pipelines - User interaction patterns and UX considerations for agentic and conversational systems - Offline and online evaluation of agentic systems - Mobile vs. desktop experiences for agentic and conversational interfaces - Adapting AB testing methodologies for new UI paradigms - Personalized experiences while maintaining user trust and fair marketplaces - Transitioning users from current eCommerce UX to agentic experiences - IR Fundamentals for eCommerce - Personalization and contextualization - Unified and universal search and recommendations - Indexing and search in rapidly changing environments (e.g., auction sites) - Experimentation techniques - Small Language Models (SLMs) for efficient and scalable eCommerce IR - Cross-lingual search and machine translation - Ads and Sponsored Products in eCommerce - Sponsored search and recommendations - Joint optimization of organic and sponsored results - Auctions, bidding, and ranking for sponsored products - Ads impact on relevance and user experience - Ranking and Whole Page Relevance (WPR) - Optimization for IR and business metrics - Diversity in product search and recommendations - Relevance models for multi-faceted entities - Relevance vs. revenue trade-offs - Deterministic sorts (e.g., price low to high) - Temporal dynamics and seasonality - Query and Document Understanding - Query intent, query suggestions, and auto-completion - Strategies for resolving low or zero recall queries - Cross-modal search (e.g., text, structured data, images) - Categorization and facets - Reviews and sentiment analysis - Recommendation and Personalization - Personalization & contextualization, including the use of personal facets such as age, gender, location - Privacy, bias and ethics in eCommerce IR - Blending recommendations and search results - Representations and Data - Semantic representation of products, queries, and customers - Construction and use of knowledge graphs for eCommerce - Large foundational recommendation models - Visual Search in eCommerce - Large-scale visual search challenges and solutions - Multimodal search and combining visual and textual information - Combining vision and language models - Explainable AI for visual search - Other Challenges - Trust, transparency, and fairness in eCommerce - UX for eCommerce - The role of search in trust and security for marketplaces - Question answering and chatbots for eCommerce - Fairness and transparency at the system and ecosystem level Data/Resource Track In order to promote academic research in the eCommerce domain, we plan to accept a small number of high quality dataset contributions. These submissions should be accompanied by a clear and detailed description of the dataset, some potential questions and applications that arise from it. Preliminary empirical investigations conveying any insight about the data will increase the quality of the submission. ________________________________________________________________________________________________________________________________ Submission Instructions: All papers will be peer reviewed (single-blind) by the program committee and judged by their relevance to the workshop, especially to the main themes identified above, and their potential to generate discussion. All submissions must be in PDF formatted according to the latest CEUR single column format available at https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw. The short (8-page) and long (15-page) limits are extended to account for this. For instructions and LaTeX/Overleaf/docx templates, see: https://ceur-ws.org/HOWTOSUBMIT.html#CEURART - Read up to and including the "License footnote in paper PDFs" section. - Please Use Emphasizing Capitalized Style for Paper Titles. - Double check \copyrightyear{2026} for the correct year - Use the following conference name styling: \conference{ECOM'26: SIGIR Workshop on eCommerce, Jul 24, 2026, Melbourne, Australia} Submissions must describe work that is not previously published, not accepted for publication elsewhere, and not currently under review elsewhere. All submissions must be in English. The workshop follows a single-blind reviewing process. We do not accept anonymized submissions. Please note that at least one of the authors of each accepted paper must register for the workshop and present the paper in person. Long paper limit: 15 pages. References are not counted in the page limit. Short paper limit: 8 pages. References are not counted in the page limit. Submissions to SIGIR eCom will be made through the SIGIR EasyChair instance. Select "2026 SIGIR Workshop on eCommerce" as the track: https://easychair.org/conferences/?conf=sigir2026 ________________________________________________________________________________________________________________________________ Data Challenge ECOM26 will host a data challenge by building on the Search task from the TREC Product Search and Recommendations Track <https://trec-product-search.github.io/search> on query reformulation for task-oriented eCommerce queries. The data challenge will consist of two phases: An open phase and a closed phase. The open phase will begin in mid-April and run through early June. The close phase will begin just after the end of the open phase and run for two weeks. Precise dates and a link to the competition portal will be posted soon. ________________________________________________________________________________________________________________________________ Agents Anonymous Agents Anonymous is an interactive, "group therapy"-style activity designed to facilitate candid discussion of hard-earned lessons, open questions, and frustrations of building real-world systems. You will submit a brief problem pitch describing a challenge you are currently grappling with. The organizers will select 4–5 cases and the selected cases will be discussed during the workshop in a structured, time-boxed format that includes a problem pitch, clarifying questions, expert panel feedback, open group brainstorming, and facilitated synthesis. The emphasis is on sharing patterns, heuristics, and battle-tested experience to create space for insights that are rarely discussed in formal academic settings and create a sense of shared community. Submission will be through Google Forms. To encourage timely problems, the submission form will open closer to the workshop date. ________________________________________________________________________________________________________________________________ Contact: sigir-ecom-organizers@googlegroups.com