English
Related papers

Related papers: Optimized Cost per Click in Taobao Display Adverti…

200 papers

Traditionally the probabilistic ranking principle is used to rank the search results while the ranking based on expected profits is used for paid placement of ads. These rankings try to maximize the expected utilities based on the user…

Computer Science and Game Theory · Computer Science 2015-03-19 Raju Balakrishnan , Subbarao Kambhampati

We propose a new Markov Decision Process (MDP) model for ad auctions to capture the user response to the quality of ads, with the objective of maximizing the long-term discounted revenue. By incorporating user response, our model takes into…

Computer Science and Game Theory · Computer Science 2024-05-07 Yang Cai , Zhe Feng , Christopher Liaw , Aranyak Mehta , Grigoris Velegkas

Predicting keywords performance, such as number of impressions, click-through rate (CTR), conversion rate (CVR), revenue per click (RPC), and cost per click (CPC), is critical for sponsored search in the online advertising industry. An…

Machine Learning · Statistics 2018-09-10 Yuan Yuan , Xiaojing Dong , Chen Dong , Yiwen Sun , Zhenyu Yan , Abhishek Pani

Ranking is a crucial module using in the recommender system. In particular, the ranking module using in our YoungTao recommendation scenario is to provide an ordered list of items to users, to maximize the click number throughout the…

Information Retrieval · Computer Science 2023-08-29 Shaowei Liu , Yangjun Liu

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 facilitates buying an individual ad impression in real time while it…

Computer Science and Game Theory · Computer Science 2017-07-18 Jun Wang , Weinan Zhang , Shuai Yuan

Budget pacing is a popular service that has been offered by major internet advertising platforms since their inception. Budget pacing systems seek to optimize advertiser returns subject to budget constraints by smoothly spending advertiser…

Computer Science and Game Theory · Computer Science 2023-12-18 Santiago R. Balseiro , Kshipra Bhawalkar , Zhe Feng , Haihao Lu , Vahab Mirrokni , Balasubramanian Sivan , Di Wang

Managing millions of digital auctions is an essential task for modern advertising auction systems. The main approach to managing digital auctions is an autobidding approach, which depends on the Click-Through Rate and Conversion Rate…

Computer Science and Game Theory · Computer Science 2025-10-13 Andrey Pudovikov , Alexandra Khirianova , Ekaterina Solodneva , Gleb Molodtsov , Aleksandr Katrutsa , Yuriy Dorn , Egor Samosvat

Brand advertising plays a critical role in building long-term consumer awareness and loyalty, making it a key objective for advertisers across digital platforms. Although real-time bidding has been extensively studied, there is limited…

Computer Science and Game Theory · Computer Science 2026-03-10 Yuanlong Chen , Bowen Zhu , Bing Xia , Yichuan Wang

Online advertising has become a key source of revenue for both web search engines and online publishers. For them, the ability of allocating right ads to right webpages is critical because any mismatched ads would not only harm web users'…

Information Retrieval · Computer Science 2013-07-15 Shuai Yuan , Jun Wang

Payments in online ad auctions are typically derived from click-through rates, so that advertisers do not pay for ineffective ads. But advertisers often care about more than just clicks. That is, for example, if they aim to raise brand…

Computer Science and Game Theory · Computer Science 2020-01-23 Ioannis Arapakis , Antonio Penta , Hideo Joho , Luis A. Leiva

We consider the "Offline Ad Slot Scheduling" problem, where advertisers must be scheduled to "sponsored search" slots during a given period of time. Advertisers specify a budget constraint, as well as a maximum cost per click, and may not…

Computer Science and Game Theory · Computer Science 2008-01-21 Jon Feldman , S. Muthukrishnan , Evdokia Nikolova , Martin Pal

Display advertising has traditionally been sold via guaranteed contracts -- a guaranteed contract is a deal between a publisher and an advertiser to allocate a certain number of impressions over a certain period, for a pre-specified price…

Multiagent Systems · Computer Science 2009-10-07 Arpita Ghosh , Preston McAfee , Kishore Papineni , Sergei Vassilvitskii

In e-commerce websites like Taobao, brand is playing a more important role in influencing users' decision of click/purchase, partly because users are now attaching more importance to the quality of products and brand is an indicator of…

Information Retrieval · Computer Science 2018-08-14 Yu Zhu , Junxiong Zhu , Jie Hou , Yongliang Li , Beidou Wang , Ziyu Guan , Deng Cai

We develop a framework for the analysis of large-scale Ad-auctions where adverts are assigned over a continuum of search types. For this pay-per-click market, we provide an efficient mechanism that maximizes social welfare. In particular,…

Computer Science and Game Theory · Computer Science 2016-06-03 Frank Kelly , Peter Key , Neil Walton

Online advertising has recently grown into a highly competitive and complex multi-billion-dollar industry, with advertisers bidding for ad slots at large scales and high frequencies. This has resulted in a growing need for efficient…

Machine Learning · Computer Science 2023-07-04 Zhe Feng , Swati Padmanabhan , Di Wang

Bid optimization for online advertising from single advertiser's perspective has been thoroughly investigated in both academic research and industrial practice. However, existing work typically assume competitors do not change their bids,…

Artificial Intelligence · Computer Science 2021-06-09 Ziyu Guan , Hongchang Wu , Qingyu Cao , Hao Liu , Wei Zhao , Sheng Li , Cai Xu , Guang Qiu , Jian Xu , Bo Zheng

Many popular search engines run an auction to determine the placement of advertisements next to search results. Current auctions at Google and Yahoo! let advertisers specify a single amount as their bid in the auction. This bid is…

Computer Science and Game Theory · Computer Science 2007-05-23 Gagan Aggarwal , S. Muthukrishnan , Jon Feldman

In digital online advertising, advertisers procure ad impressions simultaneously on multiple platforms, or so-called channels, such as Google Ads, Meta Ads Manager, etc., each of which consists of numerous ad auctions. We study how an…

Computer Science and Game Theory · Computer Science 2023-06-16 Yuan Deng , Negin Golrezaei , Patrick Jaillet , Jason Cheuk Nam Liang , Vahab Mirrokni

Cache advertisements reduce the access cost by allowing users to skip the cache when it does not contain their datum. Such advertisements are used in multiple networked domains such as 5G networks, wide area networks, and…

Networking and Internet Architecture · Computer Science 2021-04-06 Itamar Cohen , Gil Einziger , Gabriel Scalosub

Matching platforms, from ridesharing to food delivery to competitive gaming, face a fundamental operational dilemma: match agents immediately to minimize waiting costs, or delay to exploit the efficiency gains of thicker markets. Yet…

Optimization and Control · Mathematics 2026-01-30 Jie Liu , Hailun Zhang , Jiheng Zhang
‹ Prev 1 3 4 5 6 7 10 Next ›