{"ID":2848553,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.25428","arxiv_id":"2510.25428","title":"Alibaba International E-commerce Product Search Competition DcuRAGONs Team Technical Report","abstract":"This report details our methodology and results developed for the Multilingual E-commerce Search Competition. The problem aims to recognize relevance between user queries versus product items in a multilingual context and improve recommendation performance on e-commerce platforms. Utilizing Large Language Models (LLMs) and their capabilities in other tasks, our data-centric method achieved the highest score compared to other solutions during the competition. Final leaderboard is publised at https://alibaba-international-cikm2025.github.io. The source code for our project is published at https://github.com/nhtlongcs/e-commerce-product-search.","short_abstract":"This report details our methodology and results developed for the Multilingual E-commerce Search Competition. The problem aims to recognize relevance between user queries versus product items in a multilingual context and improve recommendation performance on e-commerce platforms. Utilizing Large Language Models (LLMs)...","url_abs":"https://arxiv.org/abs/2510.25428","url_pdf":"https://arxiv.org/pdf/2510.25428v1","authors":"[\"Thang-Long Nguyen-Ho\",\"Minh-Khoi Pham\",\"Hoang-Bao Le\"]","published":"2025-10-29T11:50:52Z","proceeding":"cs.IR","tasks":"[\"cs.IR\",\"cs.AI\"]","methods":"[\"Large Language Model\",\"Language Model\"]","has_code":false,"code_links":[{"ID":607631,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2848553,"paper_url":"https://arxiv.org/abs/2510.25428","paper_title":"Alibaba International E-commerce Product Search Competition DcuRAGONs Team Technical Report","repo_url":"https://github.com/nhtlongcs/e-commerce-product-search","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}