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cs.IR2026
An Industrial-Scale Sequential Recommender for LinkedIn Feed Ranking
Lars Hertel, Gaurav Srivastava, Syed Ali Naqvi +21
LinkedIn Feed enables professionals worldwide to discover relevant content, build connections, and share knowledge at scale. We present Feed Sequential Recommender (Feed SR), a tra…
cs.IR2025★ 1 cited
Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation
Tao Huang, Yihong Chen, Wei Fan +2
Graph Convolutional Networks (GCNs) are widely used to improve recommendation accuracy and performance by effectively learning the representations of user and item nodes. However,…
cs.IR2024
Contrastive Learning Method for Sequential Recommendation based on Multi-Intention Disentanglement
Zeyu Hu, Yuzhi Xiao, Tao Huang +1
Sequential recommendation is one of the important branches of recommender system, aiming to achieve personalized recommended items for the future through the analysis and predictio…