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 retrieval, current cold-start models suffer from the misalignment between training objectives and online business metrics, and they lack effective mechanisms to measure an item's growth potential. In this paper, we propose a Multi-Value-Aware retrieval framework tailored for e-commerce search, designed to better align with the cascaded online values across different stages of the search system while balancing immediate co...
| Authors | Yifan Wang, Yixuan Wang, YiDan Liang et al. |
|---|---|
| Primary category | cs.IR |
| Published | 18 May 2026 |
| Last updated at source | 18 May 2026 |
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