7 citations · 9 across the 4 of their papers we have counts for
4 papers
SuperCone: Unified User Segmentation over Heterogeneous Experts via Concept Meta-learning
Keqian Li, Yifan Hu
We study the problem of user segmentation: given a set of users and one or more predefined groups or segments, assign users to their corresponding segments. As an example, for a se…
MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning
Keqian Li, Yifan Hu, Logan Palanisamy +6
Accurate understanding of users in terms of predicative segments play an essential role in the day to day operation of modern internet enterprises. Nevertheless, there are signific…
On Integrating Information Visualization Techniques into Data Mining: A Review
Keqian Li
The exploding growth of digital data in the information era and its immeasurable potential value has called for different types of data-driven techniques to exploit its value for f…
Show Me the Money: Dynamic Recommendations for Revenue Maximization
Wei Lu, Shanshan Chen, Keqian Li +1
Recommender Systems (RS) play a vital role in applications such as e-commerce and on-demand content streaming. Research on RS has mainly focused on the customer perspective, i.e.,…