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cs.IR2026
Behavioral Feature Boosting via Substitute Relationships for E-commerce Search
Chaosheng Dong, Michinari Momma, Yijia Wang +2
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 thi…
cs.IR2020
Multi-objective Ranking via Constrained Optimization
Michinari Momma, Alireza Bagheri Garakani, Nanxun Ma +1
In this paper, we introduce an Augmented Lagrangian based method to incorporate the multiple objectives (MO) in a search ranking algorithm. Optimizing MOs is an essential and reali…