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E-commerce search framework boosts new item sales by 5.3%

Researchers have developed a new retrieval framework called GrowthGR to address the "Matthew effect" in e-commerce search, where popular items are over-represented. This framework aims to balance immediate sales with the long-term growth potential of new items. GrowthGR was successfully deployed on Taobao, resulting in a 5.3% increase in new item Gross Merchandise Volume (GMV) and a 0.3% gain in overall search GMV. AI

影响 Improves e-commerce search by promoting new items and increasing overall sales.

排序理由 The cluster describes a research paper proposing and evaluating a new framework for e-commerce search. [lever_c_demoted from research: ic=1 ai=0.7]

在 Hugging Face Daily Papers 阅读 →

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E-commerce search framework boosts new item sales by 5.3%

报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Towards Sustainable Growth: A Multi-Value-Aware Retrieval Framework for E-Commerce Search

    New item growth is critical for maintaining a healthy ecosystem in large-scale e-commerce platforms. However, existing systems tend to prioritize presenting users with already popular items, a phenomenon often referred to as the "Matthew effect". In the context of search retrieva…