568 citations · 6.2k across the 157 of their papers we have counts for
8 papers · 1 filter
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…
Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting
Jun Wang, Weinan Zhang, Shuai Yuan
The most significant progress in recent years in online display advertising is what is known as the Real-Time Bidding (RTB) mechanism to buy and sell ads. RTB essentially facilitat…
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…
Learning text representation using recurrent convolutional neural network with highway layers
Ying Wen, Weinan Zhang, Rui Luo +1
Recently, the rapid development of word embedding and neural networks has brought new inspiration to various NLP and IR tasks. In this paper, we describe a staged hybrid model comb…
Feedback Control of Real-Time Display Advertising
Weinan Zhang, Yifei Rong, Jun Wang +2
Real-Time Bidding (RTB) is revolutionising display advertising by facilitating per-impression auctions to buy ad impressions as they are being generated. Being able to use impressi…
Optimal Real-Time Bidding Frameworks Discussion
Weinan Zhang, Kan Ren, Jun Wang
This note is a complementary material for the solution of optimal real-time bidding function in paper "Optimal Real-Time Bidding for Display Advertising, KDD 2014", where the estim…
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…