Multi-level cross-modal contrastive learning for review-aware recommendation
Recent studies tend to employ Contrastive Learning (CL) methods to facilitate model training
by extracting self-supervised signals to mitigate data sparsity. However, existing CL-based …
by extracting self-supervised signals to mitigate data sparsity. However, existing CL-based …
Semi-global sequential recommendation via EM-like federated training
L Li, Z Zhang, C Huang, J Zhang - Expert Systems with Applications, 2024 - Elsevier
Sequential recommendation has garnered significant attention due to its effectiveness in
assisting individuals in finding items of interest. The sequential recommendation methods …
assisting individuals in finding items of interest. The sequential recommendation methods …
Domain Information Learning For Multi-Domain Knowledge Graph Link Prediction
Y Zhao, KM Chao, Y Li - 2023 IEEE International Conference …, 2023 - ieeexplore.ieee.org
The concept of instance changes with domains in a multi-domain knowledge graph.
Methods for Link prediction typically focus on embedding the instances in the knowledge …
Methods for Link prediction typically focus on embedding the instances in the knowledge …
Boost Social Recommendation via Adaptive Denoising Network
Social recommendation aims to integrate social relationships to improve the performance of
recommendation, and has attracted increasing attention in the field of recommendation …
recommendation, and has attracted increasing attention in the field of recommendation …