research
∙
04/25/2023
PUNR: Pre-training with User Behavior Modeling for News Recommendation
News recommendation aims to predict click behaviors based on user behavi...
share
research
∙
08/30/2022
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models
Deep generative models (DGMs) are data-eager. Essentially, it is because...
research
∙
12/09/2020
GRP: A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation
Rating prediction is a core problem in recommender systems to quantify u...
research
∙
10/14/2019
Going Negative Online? – A Study of Negative Advertising on Social Media
A growing number of empirical studies suggest that negative advertising ...
research
∙
09/15/2019
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms
Deep Learning (DL) has recently achieved tremendous success. A variety o...
research
∙
05/29/2019
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors
Text reviews can provide rich useful semantic information for modeling u...
research
∙
05/29/2019