no code implementations • ECNLP (ACL) 2022 • Alireza Bagheri Garakani, Fan Yang, Wen-Yu Hua, Yetian Chen, Michinari Momma, Jingyuan Deng, Yan Gao, Yi Sun
Ensuring relevance quality in product search is a critical task as it impacts the customer’s ability to find intended products in the short-term as well as the general perception and trust of the e-commerce system in the long term.
no code implementations • 8 Nov 2023 • Tianchen Zhou, Jia Liu, Yang Jiao, Chaosheng Dong, Yetian Chen, Yan Gao, Yi Sun
Online learning to rank (ONL2R) is a foundational problem for recommender systems and has received increasing attention in recent years.
no code implementations • 7 Jul 2022 • Debabrata Mahapatra, Chaosheng Dong, Yetian Chen, Deqiang Meng, Michinari Momma
Moreover, it formulates multiple goals that may be conflicting yet important to optimize for simultaneously, e. g., in product search, a ranking model can be trained based on product quality and purchase likelihood to increase revenue.
no code implementations • 7 Aug 2014 • Yetian Chen, Jin Tian, Olga Nikolova, Srinivas Aluru
Using dynamic programming (DP), the fastest known sequential algorithm computes the exact posterior probabilities of structural features in $O(2(d+1)n2^n)$ time and space, if the number of nodes (variables) in the Bayesian network is $n$ and the in-degree (the number of parents) per node is bounded by a constant $d$.