3 papers
cs.IR2019
A collaborative filtering model with heterogeneous neural networks for recommender systems
Ge Fan, Wei Zeng, Shan Sun +3
In recent years, deep neural network is introduced in recommender systems to solve the collaborative filtering problem, which has achieved immense success on computer vision, speec…
cs.IR2017
Preference Modeling by Exploiting Latent Components of Ratings
Junhua Chen, Wei Zeng, Junming Shao +1
Understanding user preference is essential to the optimization of recommender systems. As a feedback of user's taste, rating scores can directly reflect the preference of a given u…
cs.SI2017
A Price Driven Hazard Approach to User Retention
Junhua Chen, Wei Zeng, Ge Fan +1
Customer loyalty is crucial for internet services since retaining users of a service to ensure the staying time of the service is of significance for increasing revenue. It demands…