作者位次 #3/5SIGIR 2026Poster· Information Retrieval (Industry)
Behavioral Feature Boosting via Substitute Relationships for E-commerce Search
Chaosheng Dong · Michinari Momma · Yijia Wang · Yan Gao · yi sun
摘要
On E-commerce platforms, new products often suffer from the cold-start problem: limited interaction data reduces their search visibility and hurts relevance ranking. To address this, we propose a simple yet effective behavior feature boosting method that leverages substitute relationships among p...
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