Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Dear: Deep reinforcement learning for online advertising impression in recommender systems
With the recent prevalence of Reinforcement Learning (RL), there have been tremendous
interests in utilizing RL for online advertising in recommendation platforms (eg, e-commerce …
interests in utilizing RL for online advertising in recommendation platforms (eg, e-commerce …
" Deep reinforcement learning for search, recommendation, and online advertising: a survey" by **angyu Zhao, Long **a, Jiliang Tang, and Dawei Yin with Martin …
Search, recommendation, and online advertising are the three most important information-
providing mechanisms on the web. These information seeking techniques, satisfying users' …
providing mechanisms on the web. These information seeking techniques, satisfying users' …
Breaking the traditional: a survey of algorithmic mechanism design applied to economic and complex environments
Q Chen, X Wang, ZL Jiang, Y Wu, H Li, L Cui… - Neural Computing and …, 2023 - Springer
The mechanism design theory can be applied not only in the economy but also in many
fields, such as politics and military affairs, which has important practical and strategic …
fields, such as politics and military affairs, which has important practical and strategic …
Sliding-window thompson sampling for non-stationary settings
Abstract Multi-Armed Bandit (MAB) techniques have been successfully applied to many
classes of sequential decision problems in the past decades. However, non-stationary …
classes of sequential decision problems in the past decades. However, non-stationary …
Jointly learning to recommend and advertise
Online recommendation and advertising are two major income channels for online
recommendation platforms (eg e-commerce and news feed site). However, most platforms …
recommendation platforms (eg e-commerce and news feed site). However, most platforms …
Online joint bid/daily budget optimization of internet advertising campaigns
Pay-per-click advertising includes various formats (eg, search, contextual, social) with a total
investment of more than 200 billion USD per year worldwide. An advertiser is given a daily …
investment of more than 200 billion USD per year worldwide. An advertiser is given a daily …
Deep reinforcement learning for information retrieval: Fundamentals and advances
Information retrieval (IR) techniques, such as search, recommendation and online
advertising, satisfying users' information needs by suggesting users personalized objects …
advertising, satisfying users' information needs by suggesting users personalized objects …
E-commerce promotions personalization via online multiple-choice knapsack with uplift modeling
Promotions and discounts are essential components of modern e-commerce platforms,
where they are often used to incentivize customers towards purchase completion …
where they are often used to incentivize customers towards purchase completion …
Disentangling the impact of bidding price on advertising performance in E-commerce search advertising: The moderating role of product competitiveness
Though E-commerce search advertising has become an increasingly prevalent approach for
online retailers to promote their products, it is nontrivial for online retailers to use search …
online retailers to promote their products, it is nontrivial for online retailers to use search …
Online learning of network bottlenecks via minimax paths
In this paper, we study bottleneck identification in networks via extracting minimax paths.
Many real-world networks have stochastic weights for which full knowledge is not available …
Many real-world networks have stochastic weights for which full knowledge is not available …