733 citations · 2.2k across the 15 of their papers we have counts for
5 papers · 2 filters
Aesthetic-based Clothing Recommendation
Wenhui Yu, Huidi Zhang, Xiangnan He +3
Recently, product images have gained increasing attention in clothing recommendation since the visual appearance of clothing products has a significant impact on consumers' decisio…
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
Qingyao Ai, Vahid Azizi, Xu Chen +1
Providing model-generated explanations in recommender systems is important to user experience. State-of-the-art recommendation algorithms - especially collaborative filtering (CF)-…
Explainable Recommendation: A Survey and New Perspectives
Yongfeng Zhang, Xu Chen
Explainable recommendation attempts to develop models that generate not only high-quality recommendations but also intuitive explanations. The explanations may either be post-hoc o…
Learning over Knowledge-Base Embeddings for Recommendation
Yongfeng Zhang, Qingyao Ai, Xu Chen +1
State-of-the-art recommendation algorithms -- especially the collaborative filtering (CF) based approaches with shallow or deep models -- usually work with various unstructured inf…
Visually Explainable Recommendation
Xu Chen, Yongfeng Zhang, Hongteng Xu +3
Images account for a significant part of user decisions in many application scenarios, such as product images in e-commerce, or user image posts in social networks. It is intuitive…