Explainable recommendation with fusion of aspect information

By Yunfeng Hou, Ning Yang, Yi Wu, Philip S. Yu. 2018

83 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Xu Chen
2. Yongfeng Zhang
3. Linpeng Huang
4. Weiyu Cheng
5. Yanyan Shen
6. Yanmin Zhu
7. Xiangnan He
8. Zheng Qin

In Information Systems

1. Xu Chen
2. Yongfeng Zhang
3. Linpeng Huang
4. Weiyu Cheng
5. Yanyan Shen
6. Yanmin Zhu
7. Xiangnan He
8. Zheng Qin

Citations in the corpus

• Explainable Recommendation: A Survey and New Perspectives (2018, background): “[2016] and Hou et al. [2018] also investigated aspect-based latent factor models by integrating ratings and reviews for recommendation.”
• Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis (2018, methodology): “In [11, 19], aspect-aware topic modeling was performed on the reviews to extract item features from multiple aspects, and the ratings were computed by considering user preference against all the aspects.”