SIGIR 2025 Workshop on eCommerce (ECOM25): From Research to Product: Challenges, Lessons, and Opportunities in eCommerce Search and Recommendations

The eCommerce search and recommendations space is a unique and dynamic domain within information retrieval (IR), characterized by its multimodality and industry-driven challenges.While the basic task of fulfilling a user's information need aligns with web search, the methodologies employed are distinct.On eCommerce platforms (e.g.Alibaba, Amazon, eBay, Etsy, Flipkart, Walmart), the data available for retrieval and ranking differs significantly, as do the success signals (e.g.adding items to a cart, purchasing).Our focus for 2025 is on fostering deeper engagement through interactive discussions, exploring crucial topics such as navigating irreproducibility in research-to-product pipelines, and addressing emerging topics such as evaluation metrics for LLMs, multimodality, and the interplay between organic and sponsored search.With our discussion-heavy format and structured facilitation, we aim to spark conversation among all participants.

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Publication Details

Published
2025-07-13
DOI
https://doi.org/10.1145/3726302.3730359
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

SIGIR 2025 Workshop on eCommerce (ECOM25): From Research to Product: Challenges, Lessons, and Opportunities in eCommerce Search and Recommendations

Tracy Holloway King, Andrew Trotman, Yubin Kim, Aditya Chichani et al.
Semantic Web and Ontologies
article

SIGIR 2025 Workshop on eCommerce (ECOM25): From Research to Product: Challenges, Lessons, and Opportunities in eCommerce Search and Recommendations

Tracy Holloway King, Andrew Trotman, Yubin Kim, Aditya Chichani, Pallavi Gudipati
article en

Abstract

The eCommerce search and recommendations space is a unique and dynamic domain within information retrieval (IR), characterized by its multimodality and industry-driven challenges.While the basic task of fulfilling a user's information need aligns with web search, the methodologies employed are distinct.On eCommerce platforms (e.g.Alibaba, Amazon, eBay, Etsy, Flipkart, Walmart), the data available for retrieval and ranking differs significantly, as do the success signals (e.g.adding items to a cart, purchasing).Our focus for 2025 is on fostering deeper engagement through interactive discussions, exploring crucial topics such as navigating irreproducibility in research-to-product pipelines, and addressing emerging topics such as evaluation metrics for LLMs, multimodality, and the interplay between organic and sponsored search.With our discussion-heavy format and structured facilitation, we aim to spark conversation among all participants.

Adobe Systems (United States) (US), Walmart (United States) (US), ResearchWorks (United States) (US), Voice of America (United States) (US), University of Otago (NZ)
Decent work and economic growth
Openalex Percentile: Top 92%
Semantic Web and Ontologies
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SIGIR 2025 Workshop on eCommerce (ECOM25): From Research to Product: Challenges, Lessons, and Opportunities in eCommerce Search and Recommendations — Tracy Holloway King, Andrew Trotman, et al. · (2025) | TGRS Research Map | TGRS