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View all- Zhu KQin TWang XChen ZDing J(2023)Graph Contrastive Learning with Hybrid Noise Augmentation for RecommendationAdvanced Data Mining and Applications10.1007/978-3-031-46674-8_23(325-339)Online publication date: 27-Aug-2023
Providing high quality recommendations is important for e-commerce systems to assist users in making effective selection decisions from a plethora of choices. Collaborative filtering is a widely accepted technique to generate recommendations based on ...
The data sparsity problem has attracted significant attention in collaborative filtering-based recommender systems. To alleviate data sparsity, several previous efforts employed hybrid approaches that incorporate auxiliary data sources into ...
Suggest various cross-domain collaborative filtering approaches.Evaluate them with a large fashion company comprised of three domains.Demonstrate the recommendation score-based approach is prominent over others. In the present day, the oversaturation of ...
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