Researchers have developed a new retrieval framework called GrowthGR for e-commerce search engines to address the issue of prioritizing popular items over new ones. This framework includes a module to predict an item's long-term transaction value and another that uses this prediction to balance short-term conversion with long-term growth potential. When deployed on Taobao, GrowthGR led to a 5.3% increase in new item gross merchandise volume and a 0.3% rise in overall search GMV, demonstrating its positive impact on the platform's ecosystem. AI
IMPACT Improves e-commerce search by balancing new item discovery with popular item conversion, potentially increasing platform revenue.
RANK_REASON The cluster contains an academic paper detailing a new framework and its successful deployment and results on a real-world platform. [lever_c_demoted from research: ic=1 ai=0.7]
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