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Advertising images significantly impact commercial conversion rates and brand equity, yet current evaluation methods rely on subjective judgments, lacking scalability, standardized criteria, and interpretability. To address these…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Kaiyuan Ji , Yixuan Gao , Lu Sun , Yushuo Zheng , Zijian Chen , Jianbo Zhang , Xiangyang Zhu , Yuan Tian , Zicheng Zhang , Guangtao Zhai

Emotion evoked by an advertisement plays a key role in influencing brand recall and eventual consumer choices. Automatic ad affect recognition has several useful applications. However, the use of content-based feature representations does…

Computer Vision and Pattern Recognition · Computer Science 2018-08-15 Abhinav Shukla , Harish Katti , Mohan Kankanhalli , Ramanathan Subramanian

Text-to-image models are appealing for customizing visual advertisements and targeting specific populations. We investigate this potential by examining the demographic bias within ads for different ad topics, and the disparate level of…

Computer Vision and Pattern Recognition · Computer Science 2025-10-20 Aysan Aghazadeh , Adriana Kovashka

In this paper, we examine the visual variability of objects across different ad categories, i.e. what causes an advertisement to be visually persuasive. We focus on modeling and generating faces which appear to come from different types of…

Computer Vision and Pattern Recognition · Computer Science 2018-07-27 Christopher Thomas , Adriana Kovashka

Online advertising is an important revenue source for many IT companies. In the search advertising scenario, advertisement text that meets the need of the search query would be more attractive to the user. However, the manual creation of…

Computation and Language · Computer Science 2021-09-24 Siyu Duan , Wei Li , Cai Jing , Yancheng He , Yunfang Wu , Xu Sun

The causal effect of showing an ad to a potential customer versus not, commonly referred to as "incrementality", is the fundamental question of advertising effectiveness. In digital advertising three major puzzle pieces are central to…

Machine Learning · Computer Science 2022-08-30 Randall Lewis , Jeffrey Wong

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…

Corporations spend millions of dollars on developing creative image-based promotional content to advertise to their user-base on platforms like Twitter. Our paper is an initial study, where we propose a novel method to evaluate and improve…

Information Retrieval · Computer Science 2017-05-16 Avikalp Srivastava , Madhav Datt , Jaikrishna Chaparala , Shubham Mangla , Priyadarshi Patnaik

In natural language generation for advertising, creating diverse and engaging ad texts is crucial for capturing a broad audience and avoiding advertising fatigue. Regardless of the importance of diversity, the impact of the…

Computation and Language · Computer Science 2025-05-23 Yoichi Aoki , Soichiro Murakami , Ukyo Honda , Akihiko Kato

Search advertising, a popular method for online marketing, has been employed to improve health by eliciting positive behavioral change. However, writing effective advertisements requires expertise and experimentation, which may not be…

Information Retrieval · Computer Science 2020-07-14 Brit Youngmann , Ran Gilad-Bachrach , Danny Karmon , Elad Yom-Tov

Effective linguistic choices that attract potential customers play crucial roles in advertising success. This study aims to explore the linguistic features of ad texts that influence human preferences. Although the creation of attractive ad…

Computation and Language · Computer Science 2025-02-12 Soichiro Murakami , Peinan Zhang , Hidetaka Kamigaito , Hiroya Takamura , Manabu Okumura

Identifying factors that make ad text attractive is essential for advertising success. This study proposes AdParaphrase v2.0, a dataset for ad text paraphrasing, containing human preference data, to enable the analysis of the linguistic…

Computation and Language · Computer Science 2025-05-28 Soichiro Murakami , Peinan Zhang , Hidetaka Kamigaito , Hiroya Takamura , Manabu Okumura

Click models are an important tool for leveraging user feedback, and are used by commercial search engines for surfacing relevant search results. However, existing click models are lacking in two aspects. First, they do not share…

Information Retrieval · Computer Science 2014-01-03 Dinesh Govindaraj , Tao Wang , S. V. N. Vishwanathan

Modern commercial Internet search engines display advertisements along side the search results in response to user queries. Such sponsored search relies on market mechanisms to elicit prices for these advertisements, making use of an…

Computer Science and Game Theory · Computer Science 2008-12-18 Jon Feldman , S. Muthukrishnan

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

We propose a framework for automated classification of Advertisement Images, using not just Visual features but also Textual cues extracted from embedded text. Our approach takes inspiration from the assumption that Ad images contain…

Computer Vision and Pattern Recognition · Computer Science 2019-11-14 Arka Ujjal Dey , Suman K. Ghosh , Ernest Valveny

Advertisements (ads) often contain strong affective content to capture viewer attention and convey an effective message to the audience. However, most computational affect recognition (AR) approaches examine ads via the text modality, and…

Human-Computer Interaction · Computer Science 2019-06-04 Abhinav Shukla , Shruti Shriya Gullapuram , Harish Katti , Mohan Kankanhalli , Stefan Winkler , Ramanathan Subramanian

Academic search engines allow scientists to explore related work relevant to a given query. Often, the user is also aware of the "aspect" to retrieve a relevant document. In such cases, existing search engines can be used by expanding the…

Information Retrieval · Computer Science 2020-01-30 Prajna Upadhyay , Srikanta Bedathur , Tanmoy Chakraborty , Maya Ramanath

In the online advertising industry, the process of designing an ad creative (i.e., ad text and image) requires manual labor. Typically, each advertiser launches multiple creatives via online A/B tests to infer effective creatives for the…

Computation and Language · Computer Science 2020-12-03 Shaunak Mishra , Manisha Verma , Yichao Zhou , Kapil Thadani , Wei Wang

Fashion, and especially apparel, is the fastest-growing category in online shopping. As consumers requires sensory experience especially for apparel goods for which their appearance matters most, images play a key role not only in conveying…

Human-Computer Interaction · Computer Science 2014-06-16 Wei Di , Anurag Bhardwaj , Vignesh Jagadeesh , Robinson Piramuthu , Elizabeth Churchill
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