301 citations · 341 across the 5 of their papers we have counts for
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cs.IR2024
Deep Uncertainty-Based Explore for Index Construction and Retrieval in Recommendation System
Xin Jiang, Kaiqiang Wang, Yinlong Wang +7
In recommendation systems, the relevance and novelty of the final results are selected through a cascade system of Matching -> Ranking -> Strategy. The matching model serves as the…
cs.IR2023★ 7 cited
Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction
Huinan Sun, Guangliang Yu, Pengye Zhang +3
Click-through rate (CTR) prediction aims to predict the probability that the user will click an item, which has been one of the key tasks in online recommender and advertising syst…
cs.IR2019★ 31 cited
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
Han Zhu, Daqing Chang, Ziru Xu +6
Large-scale industrial recommender systems are usually confronted with computational problems due to the enormous corpus size. To retrieve and recommend the most relevant items to…