126 citations · 282 across the 34 of their papers we have counts for
5 papers · 1 filter
Click-through Rate Prediction with Auto-Quantized Contrastive Learning
Yujie Pan, Jiangchao Yao, Bo Han +3
Click-through rate (CTR) prediction becomes indispensable in ubiquitous web recommendation applications. Nevertheless, the current methods are struggling under the cold-start scena…
Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs
Jingchao Su, Xu Chen, Ya Zhang +3
Relational learning aims to make relation inference by exploiting the correlations among different types of entities. Exploring relational learning on multiple bipartite graphs has…
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph
Chenyang Li, Xu Chen, Ya Zhang +3
Knowledge graphs (KGs) composed of users, objects, and tags are widely used in web applications ranging from E-commerce, social media sites to news portals. This paper concentrates…
Cascading: Association Augmented Sequential Recommendation
Xu Chen, Kenan Cui, Ya Zhang +1
Recently, recommendation according to sequential user behaviors has shown promising results in many application scenarios. Generally speaking, real-world sequential user behaviors…
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising
Kan Ren, Yuchen Fang, Weinan Zhang +5
In online advertising, the Internet users may be exposed to a sequence of different ad campaigns, i.e., display ads, search, or referrals from multiple channels, before led up to a…