8 citations · 11 across the 2 of their papers we have counts for
4 papers
Large Scale Product Graph Construction for Recommendation in E-commerce
Xiaoyong Yang, Yadong Zhu, Yi Zhang +2
Building a recommendation system that serves billions of users on daily basis is a challenging problem, as the system needs to make astronomical number of predictions per second ba…
Improving Recommendation Diversity by Highlighting the ExTrA Fabricated Experts
Ya-Hui An, Qiang Dong, Quan Yuan +1
Nowadays, recommender systems (RSes) are becoming increasingly important to individual users and business marketing, especially in the online e-commerce scenarios. However, while t…
Alleviating the recommendation bias via rank aggregation
Qiang Dong, Quan Yuan, Yang-Bo Shi
The primary goal of a recommender system is often known as "helping users find relevant items", and a lot of recommendation algorithms are proposed accordingly. However, these accu…
User Validation of Recommendation Serendipity Metrics
Li Chen, Ningxia Wang, Yonghua Yang +2
Though it has been recognized that recommending serendipitous (i.e., surprising and relevant) items can be helpful for increasing users' satisfaction and behavioral intention, how…