Data Mining Methods for Recommender Systems

By Xavier Amatriain, Alejandro Jaimes, Nuria Oliver, Josep M. Pujol. 2015

284 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, 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 Computer Vision and Pattern Recognition

1. Yongfeng Zhang
2. Xu Chen
3. Jie Lu
4. Mingsong Mao
5. Wei Wang
6. Dianshuang Wu
7. Guangquan Zhang
8. Xiangnan He

In Information Systems

1. Xu Chen
2. Yongfeng Zhang
3. Jie Lu
4. Mingsong Mao
5. Wei Wang
6. Dianshuang Wu
7. Guangquan Zhang
8. Xiangnan He

Citations in the corpus

• Explainable Recommendation: A Survey and New Perspectives (2018, background): “More comprehensively, Amatriain and Pujol [2015] provided a survey of data mining methods for recommendation, including association rules-based approaches.”
• Recommender system application developments: A survey (2015, methodology): “Bayesian classifiers are popular for model-based recommender systems [35] and are often used to derive the model for CB recommender systems.”