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20222026
most citedRL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems

8 citations · 22 across the 40 of their papers we have counts for

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Showing cs.GTShow all

6 papers · 1 filter

cs.GT2026

HMAF: A Hierarchical Multi-Slot GD-RTB Allocation Framework

Tianxing Bu, Zhaoqi Zhang, Linyou Cai +7

In modern online advertising platforms, Guaranteed Delivery (GD) contracts coexist and bid with Real-Time Bidding (RTB) auctions. Recent approaches either decouple GD and RTB optim…

cs.GT2025

A Joint Auction Framework with Externalities and Adaptation

Chun Fang, Luowen Liu, Kun Huang +6

Recently, joint advertising has gained significant attention as an effective approach to enhancing the efficiency and revenue of advertising slot allocation. Unlike traditional adv…

cs.GT2025

Generative Bid Shading in Real-Time Bidding Advertising

Yinqiu Huang, Hao Ma, Wenshuai Chen +7

Bid shading plays a crucial role in Real-Time Bidding (RTB) by adaptively adjusting the bid to avoid advertisers overspending. Existing mainstream two-stage methods, which first mo…

cs.GT2025

Deterministic-Allocation and Anonymous Joint Advertising in E-commerce Platforms

Zhen Zhang, Luowen Liu, Wanzhi Zhang +5

With the advancement of machine learning, an increasing number of studies are employing automated mechanism design (AMD) methods for optimal auction design. However, all previous A…

cs.GT2024

Joint Auction in the Online Advertising Market

Zhen Zhang, Weian Li, Yahui Lei +5

Online advertising is a primary source of income for e-commerce platforms. In the current advertising pattern, the oriented targets are the online store owners who are willing to p…

cs.GT2024

Deep Automated Mechanism Design for Integrating Ad Auction and Allocation in Feed

Xuejian Li, Ze Wang, Bingqi Zhu +3

E-commerce platforms usually present an ordered list, mixed with several organic items and an advertisement, in response to each user's page view request. This list, the outcome of…