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Online videos have witnessed an unprecedented growth over the last decade, owing to wide range of content creation. This provides the advertisement and marketing agencies plethora of opportunities for targeted advertisements. Such…

Computer Vision and Pattern Recognition · Computer Science 2019-05-07 Soumyabrata Dev , Murhaf Hossari , Matthew Nicholson , Killian McCabe , Atul Nautiyal , Clare Conran , Jian Tang , Wei Xu , François Pitié

Online learning to rank is a sequential decision-making problem where in each round the learning agent chooses a list of items and receives feedback in the form of clicks from the user. Many sample-efficient algorithms have been proposed…

Machine Learning · Statistics 2019-03-20 Tor Lattimore , Branislav Kveton , Shuai Li , Csaba Szepesvari

Inspired by real-time ad exchanges for online display advertising, we consider the problem of inferring a buyer's value distribution for a good when the buyer is repeatedly interacting with a seller through a posted-price mechanism. We…

Machine Learning · Computer Science 2013-11-28 Kareem Amin , Afshin Rostamizadeh , Umar Syed

Autonomous vehicles need to accomplish their tasks while interacting with human drivers in traffic. It is thus crucial to equip autonomous vehicles with artificial reasoning to better comprehend the intentions of the surrounding traffic,…

Artificial Intelligence · Computer Science 2023-11-02 Xiao Li , Kaiwen Liu , H. Eric Tseng , Anouck Girard , Ilya Kolmanovsky

Advertisements (ads) often include strongly emotional content to leave a lasting impression on the viewer. This work (i) compiles an affective ad dataset capable of evoking coherent emotions across users, as determined from the affective…

Human-Computer Interaction · Computer Science 2017-09-07 Abhinav Shukla , Shruti Shriya Gullapuram , Harish Katti , Karthik Yadati , Mohan Kankanhalli , Ramanathan Subramanian

Today, billions of display ad impressions are purchased on a daily basis through a public auction hosted by real time bidding (RTB) exchanges. A decision has to be made for advertisers to submit a bid for each selected RTB ad request in…

Computer Science and Game Theory · Computer Science 2013-05-15 Kuang-Chih Lee , Ali Jalali , Ali Dasdan

With the increase in an average user's dependence on their mobile devices, the reliance on collecting his browsing history from mobile browsers has also increased. This browsing history is highly utilized in the advertising industry for…

Information Retrieval · Computer Science 2019-04-26 Bharat Gaind , Nitish Varshney , Shubham Goel , Akash Mondal

Online advertising has been the major monetization approach for Internet companies. Advertisers invest budgets to bid for real-time impressions to gain direct and indirect returns. Existing works have been concentrating on optimizing direct…

Computer Science and Game Theory · Computer Science 2019-03-12 Hao Liu , Yunze Li , Qinyu Cao , Guang Qiu , Jiming Chen

Networked multi-agent dynamical systems have been used to model how individual opinions evolve over time due to the opinions of other agents in the network. Particularly, such a model has been used to study how a planning agent can be used…

Social and Information Networks · Computer Science 2026-03-19 Sheryl Paul , Leslie Cruz Juarez , Jyotirmoy V. Deshmukh , Ketan Savla

Given the massive market of advertising and the sharply increasing online multimedia content (such as videos), it is now fashionable to promote advertisements (ads) together with the multimedia content. It is exhausted to find relevant ads…

Multimedia · Computer Science 2020-01-06 Huaizheng Zhang , Yong Luo , Qiming Ai , Yonggang Wen

With exponential increase in the availability oftelemetry / streaming / real-time data, understanding contextualbehavior changes is a vital functionality in order to deliverunrivalled customer experience and build high performance andhigh…

Social and Information Networks · Computer Science 2019-02-19 Amit Kumar , Tanya Ahuja , Rajesh Kumar Madabhattula , Murali Kante , Srinivasa Rao Aravilli

Clickstreams on individual websites have been studied for decades to gain insights into user interests and to improve website experiences. This paper proposes and examines a novel sequence modeling approach for web clickstreams, that also…

Human-Computer Interaction · Computer Science 2021-03-09 Changkun Ou , Daniel Buschek , Malin Eiband , Andreas Butz

Active perception strategies enable an agent to selectively gather information in a way to improve its performance. In applications in which the agent does not have prior knowledge about the available information sources, it is crucial to…

Artificial Intelligence · Computer Science 2019-10-08 Mahsa Ghasemi , Ufuk Topcu

Web search is among the most frequent online activities. Whereas traditional information retrieval techniques focus on the information need behind a user query, previous work has shown that user behaviour and interaction can provide…

Information Retrieval · Computer Science 2022-07-05 Ran Yu , Limock , Stefan Dietze

Online advertising has motivated interest in online selection problems. Displaying ads to the right users benefits both the platform (e.g., via pay-per-click) and the advertisers (by increasing their reach). In practice, not all users click…

Computer Science and Game Theory · Computer Science 2024-08-16 Sebastian Perez-Salazar , Mohit Singh , Alejandro Toriello

Real-time bidding (RTB) has become a major paradigm of display advertising. Each ad impression generated from a user visit is auctioned in real time, where demand-side platform (DSP) automatically provides bid price usually relying on the…

Information Retrieval · Computer Science 2022-12-26 Zhimeng Jiang , Kaixiong Zhou , Mi Zhang , Rui Chen , Xia Hu , Soo-Hyun Choi

Real-time bidding (RTB) based display advertising has become one of the key technological advances in computational advertising. RTB enables advertisers to buy individual ad impressions via an auction in real-time and facilitates the…

Computer Science and Game Theory · Computer Science 2018-03-13 Kan Ren , Weinan Zhang , Ke Chang , Yifei Rong , Yong Yu , Jun Wang

Pay-per-click advertising includes various formats (\emph{e.g.}, search, contextual, social) with a total investment of more than 200 billion USD per year worldwide. An advertiser is given a daily budget to allocate over several, even…

Machine Learning · Computer Science 2020-03-04 Alessandro Nuara , Francesco Trovò , Nicola Gatti , Marcello Restelli

Sponsored search is an indispensable business model and a major revenue contributor of almost all the search engines. From the advertisers' side, participating in ranking the search results by paying for the sponsored search advertisement…

Information Retrieval · Computer Science 2018-03-28 Li He , Liang Wang , Kaipeng Liu , Bo Wu , Weinan Zhang

Readers take decisions about going through the complete news based on many factors. The emotional impact of the news title on reader is one of the most important factors. Cognitive ergonomics tries to strike the balance between work,…

Information Retrieval · Computer Science 2019-10-16 Hrishikesh Kulkarni , P Joshi , P Chande