568 citations · 2.8k across the 52 of their papers we have counts for
4 papers · 2 filters
Product-based Neural Networks for User Response Prediction
Yanru Qu, Han Cai, Kan Ren +4
Predicting user responses, such as clicks and conversions, is of great importance and has found its usage in many Web applications including recommender systems, web search and onl…
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu, Weinan Zhang, Jun Wang +1
As a new way of training generative models, Generative Adversarial Nets (GAN) that uses a discriminative model to guide the training of the generative model has enjoyed considerabl…
Implicit Look-alike Modelling in Display Ads: Transfer Collaborative Filtering to CTR Estimation
Weinan Zhang, Lingxi Chen, Jun Wang
User behaviour targeting is essential in online advertising. Compared with sponsored search keyword targeting and contextual advertising page content targeting, user behaviour targ…
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction
Weinan Zhang, Tianming Du, Jun Wang
Predicting user responses, such as click-through rate and conversion rate, are critical in many web applications including web search, personalised recommendation, and online adver…