76 citations · 77 across the 5 of their papers we have counts for
5 papers
Pre-Trained Models for Heterogeneous Information Networks
Yang Fang, Xiang Zhao, Yifan Chen +2
In network representation learning we learn how to represent heterogeneous information networks in a low-dimensional space so as to facilitate effective search, classification, and…
Towards Question-based Recommender Systems
Jie Zou, Yifan Chen, Evangelos Kanoulas
Conversational and question-based recommender systems have gained increasing attention in recent years, with users enabled to converse with the system and better control recommenda…
A Collective Variational Autoencoder for Top- Recommendation with Side Information
Yifan Chen, Maarten de Rijke
Recommender systems have been studied extensively due to their practical use in many real-world scenarios. Despite this, generating effective recommendations with sparse user ratin…
Leveraging High-Dimensional Side Information for Top-N Recommendation
Yifan Chen, Xiang Zhao
Top- recommender systems typically utilize side information to address the problem of data sparsity. As nowadays side information is growing towards high dimensionality, the per…
Content-Based Top-N Recommendation using Heterogeneous Relations
Yifan Chen, Xiang Zhao, Junjiao Gan +2
Top- recommender systems have been extensively studied. However, the sparsity of user-item activities has not been well resolved. While many hybrid systems were proposed to addr…