10 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.IR2022★ 10 cited
Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences
Qianying Lin, Wen-Ji Zhou, Yanshi Wang +3
Sequential recommendation predicts users' next behaviors with their historical interactions. Recommending with longer sequences improves recommendation accuracy and increases the d…
cs.LG2021
Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce
Xuesi Wang, Guangda Huzhang, Qianying Lin +1
Ensemble models in E-commerce combine predictions from multiple sub-models for ranking and revenue improvement. Industrial ensemble models are typically deep neural networks, follo…
cs.IR2021★ 1 cited
Diversity Regularized Interests Modeling for Recommender Systems
Junmei Hao, Jingcheng Shi, Qing Da +4
With the rapid development of E-commerce and the increase in the quantity of items, users are presented with more items hence their interests broaden. It is increasingly difficult…