activity
20182022
most citedComputation Resource Allocation Solution in Recommender Systems

4 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.GT2022

Impression Allocation and Policy Search in Display Advertising

Di Wu, Cheng Chen, Xiujun Chen +5

In online display advertising, guaranteed contracts and real-time bidding (RTB) are two major ways to sell impressions for a publisher. For large publishers, simultaneously selling…

cs.LG2022

A Unified Framework for Campaign Performance Forecasting in Online Display Advertising

Jun Chen, Cheng Chen, Huayue Zhang +1

Advertisers usually enjoy the flexibility to choose criteria like target audience, geographic area and bid price when planning an campaign for online display advertising, while the…

eess.SY20214 cited

Computation Resource Allocation Solution in Recommender Systems

Xun Yang, Yunli Wang, Cheng Chen +4

Recommender systems rely heavily on increasing computation resources to improve their business goal. By deploying computation-intensive models and algorithms, these systems are abl…

cs.AI2018

A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising

Di Wu, Cheng Chen, Xun Yang +4

In online display advertising, guaranteed contracts and real-time bidding (RTB) are two major ways to sell impressions for a publisher. Despite the increasing popularity of RTB, th…

cs.AI2018

Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising

Di Wu, Xiujun Chen, Xun Yang +5

Real-time bidding (RTB) is an important mechanism in online display advertising, where a proper bid for each page view plays an essential role for good marketing results. Budget co…