Opinionated Explanations for Recommendation Systems

By Aonghus Lawlor, Khalil Muhammad, Rachael Rafter, Barry Smyth. 2015

10 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. Tao Li
4. S. S. Iyengar
5. Xiaolong Zhu
6. Ramesh Baral
7. Xiangnan He
8. Zheng Qin

In Information Systems

1. Xu Chen
2. Yongfeng Zhang
3. S. S. Iyengar
4. Xiaolong Zhu
5. Tao Li
6. Ramesh Baral
7. Xiangnan He
8. Zheng Qin

Citations in the corpus

• Explainable Recommendation: A Survey and New Perspectives (2018, background): “Lawlor et al. [2015] and Muhammad et al. [2015] leveraged opinion mining to generate explanations.”
• ReEL: Review Aware Explanation of Location Recommendation (2018, background): “After having the ordered set of places within each aspect, having an explanation of type similar to [27] (i.e. place A is better than 80% of places for "Food", etc.) can be achieved by counting the number of places behind the target place in the recommended list.”