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Click prediction is one of the fundamental problems in sponsored search. Most of existing studies took advantage of machine learning approaches to predict ad click for each event of ad view independently. However, as observed in the…

Information Retrieval · Computer Science 2014-07-29 Yuyu Zhang , Hanjun Dai , Chang Xu , Jun Feng , Taifeng Wang , Jiang Bian , Bin Wang , Tie-Yan Liu

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

In modern digital marketing, the growing complexity of advertisement data demands intelligent systems capable of understanding semantic relationships among products, audiences, and advertising content. To address this challenge, this paper…

Information Retrieval · Computer Science 2026-01-06 Tangtang Wang , Kaijie Zhang , Kuangcong Liu

Video-based ads are a vital medium for brands to engage consumers, with social media platforms leveraging user data to optimize ad delivery and boost engagement. A crucial but under-explored aspect is the 'hooking period', the first three…

Multimedia · Computer Science 2026-02-27 Kunpeng Zhang , Poppy Zhang , Shawndra Hill , Amel Awadelkarim

We present the concept of Semantic Advertising which we see as the future of online advertising. Semantic Advertising is online advertising powered by semantic technology which essentially enables us to represent and reason with concepts…

Artificial Intelligence · Computer Science 2013-09-20 Ben Zamanzadeh , Naveen Ashish , Cartic Ramakrishnan , John Zimmerman

Conspicuous progression in the field of machine learning and deep learning have led the jump of highly realistic fake media, these media oftentimes referred as deepfakes. Deepfakes are fabricated media which are generated by sophisticated…

Machine Learning · Computer Science 2023-04-05 Aniruddha Tiwari , Rushit Dave , Mounika Vanamala

This paper proposes a method for performing continual learning of predictive models that facilitate the inference of future frames in video sequences. For a first given experience, an initial Variational Autoencoder, together with a set of…

Computer Vision and Pattern Recognition · Computer Science 2020-06-04 Damian Campo , Giulia Slavic , Mohamad Baydoun , Lucio Marcenaro , Carlo Regazzoni

In online display advertising, selecting the most effective ad creative (ad image) for each impression is a crucial task for DSPs (Demand-Side Platforms) to fulfill their goals (click-through rate, number of conversions, revenue, and brand…

Computers and Society · Computer Science 2020-01-15 Daisuke Moriwaki , Komei Fujita , Shota Yasui , Takahiro Hoshino

Video forgery detection is becoming an important issue in recent years, because modern editing software provide powerful and easy-to-use tools to manipulate videos. In this paper we propose to perform detection by means of deep learning,…

Computer Vision and Pattern Recognition · Computer Science 2017-08-30 Dario D'Avino , Davide Cozzolino , Giovanni Poggi , Luisa Verdoliva

Online advertising has been introduced as one of the most efficient methods of advertising throughout the recent years. Yet, advertisers are concerned about the efficiency of their online advertising campaigns and consequently, would like…

Machine Learning · Computer Science 2013-05-15 Ali Jalali , Santanu Kolay , Peter Foldes , Ali Dasdan

Short-form videos have become a primary medium for digital advertising, requiring scalable and efficient content creation. However, current workflows and AI tools remain disjoint and modality-specific, leading to high production costs and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Milton Zhou , Sizhong Qin , Yongzhi Li , Quan Chen , Peng Jiang

There is more to images than their objective physical content: for example, advertisements are created to persuade a viewer to take a certain action. We propose the novel problem of automatic advertisement understanding. To enable research…

Computer Vision and Pattern Recognition · Computer Science 2017-07-12 Zaeem Hussain , Mingda Zhang , Xiaozhong Zhang , Keren Ye , Christopher Thomas , Zuha Agha , Nathan Ong , Adriana Kovashka

If the video has long been mentioned as a widespread visualization form, the animation sequence in the video is mentioned as storytelling for people. Producing an animation requires intensive human labor from skilled professional artists to…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Thi-Ngoc-Hanh Le , Sheng-Yi Yao , Chun-Te Wu , Tong-Yee Lee

In this paper we present Percival, a browser-embedded, lightweight, deep learning-powered ad blocker. Percival embeds itself within the browser's image rendering pipeline, which makes it possible to intercept every image obtained during…

Cryptography and Security · Computer Science 2020-05-21 Zain ul abi Din , Panagiotis Tigas , Samuel T. King , Benjamin Livshits

Despite the importance of long-term memory in marketing and brand building, until now, there has been no large-scale study on the memorability of ads. All previous memorability studies have been conducted on short-term recall on specific…

Computation and Language · Computer Science 2024-12-03 Harini SI , Somesh Singh , Yaman K Singla , Aanisha Bhattacharyya , Veeky Baths , Changyou Chen , Rajiv Ratn Shah , Balaji Krishnamurthy

We propose a technique that propagates information forward through video data. The method is conceptually simple and can be applied to tasks that require the propagation of structured information, such as semantic labels, based on video…

Computer Vision and Pattern Recognition · Computer Science 2017-04-12 Varun Jampani , Raghudeep Gadde , Peter V. Gehler

Modeling what makes an advertisement persuasive, i.e., eliciting the desired response from consumer, is critical to the study of propaganda, social psychology, and marketing. Despite its importance, computational modeling of persuasion in…

Video contents have become a critical tool for promoting products in E-commerce. However, the lack of automatic promotional video generation solutions makes large-scale video-based promotion campaigns infeasible. The first step of…

Multimedia · Computer Science 2021-03-31 Chang Liu , Yi Dong , Han Yu , Zhiqi Shen , Zhanning Gao , Pan Wang , Changgong Zhang , Peiran Ren , Xuansong Xie , Lizhen Cui , Chunyan Miao

Retargeting ads are increasingly prevalent on the Internet as their effectiveness has been shown to outperform conventional targeted ads. Retargeting ads are not only based on users' interests, but also on their intents, i.e. commercial…

Cryptography and Security · Computer Science 2014-04-18 Minh-Dung Tran , Gergely Acs , Claude Castelluccia

Advertising posters, a form of information presentation, combine visual and linguistic modalities. Creating a poster involves multiple steps and necessitates design experience and creativity. This paper introduces AutoPoster, a highly…

Computer Vision and Pattern Recognition · Computer Science 2023-08-24 Jinpeng Lin , Min Zhou , Ye Ma , Yifan Gao , Chenxi Fei , Yangjian Chen , Zhang Yu , Tiezheng Ge
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