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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

Recent progress in generative models, especially in text-guided diffusion models, has enabled the production of aesthetically-pleasing imagery resembling the works of professional human artists. However, one has to carefully compose the…

Human-Computer Interaction · Computer Science 2023-06-05 Nikita Pavlichenko , Dmitry Ustalov

Online advertising platforms host hundreds of thousands of A/B tests, but the platform's delivery algorithm routes each creative to the audience it predicts will engage. Every two-arm test therefore conflates the creative's effect with the…

Econometrics · Economics 2026-05-25 Pallavi Pal , Anjana Susarla

Text-to-image (T2I) models have achieved remarkable progress, yet they continue to struggle with complex prompts that require simultaneously handling multiple objects, relations, and attributes. Existing inference-time strategies, such as…

Computer Vision and Pattern Recognition · Computer Science 2026-01-22 Shantanu Jaiswal , Mihir Prabhudesai , Nikash Bhardwaj , Zheyang Qin , Amir Zadeh , Chuan Li , Katerina Fragkiadaki , Deepak Pathak

In e-commerce advertising, selecting the most compelling combination of creative elements -- such as titles, images, and highlights -- is critical for capturing user attention and driving conversions. However, existing methods often…

Machine Learning · Computer Science 2025-08-14 Qiaolei Gu , Yu Li , DingYi Zeng , Lu Wang , Ming Pang , Changping Peng , Zhangang Lin , Ching Law , Jingping Shao

Handwritten Text Recognition has achieved an impressive performance in public benchmarks. However, due to the high inter- and intra-class variability between handwriting styles, such recognizers need to be trained using huge volumes of…

Computer Vision and Pattern Recognition · Computer Science 2022-04-13 Lei Kang , Pau Riba , Marçal Rusiñol , Alicia Fornés , Mauricio Villegas

The rapid advancement of Artificial Intelligence Generated Content (AIGC) techniques has unlocked opportunities in generating diverse and compelling advertising images based on referenced product images and textual scene descriptions. This…

Graphics · Computer Science 2025-08-19 Yiyun Chen , Weikai Yang

Text-to-Image models, including Stable Diffusion, have significantly improved in generating images that are highly semantically aligned with the given prompts. However, existing models may fail to produce appropriate images for the cultural…

Computer Vision and Pattern Recognition · Computer Science 2025-05-20 Suchae Jeong , Inseong Choi , Youngsik Yun , Jihie Kim

Lifestyle images are photographs that capture environments and objects in everyday settings. In furniture product marketing, advertisers often create lifestyle images containing products to resonate with potential buyers, allowing buyers to…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Jialu Gao , Mithun Das Gupta , Qun Li , Raveena Kshatriya , Andrew D. Wilson , Keng-hao Chang , Balasaravanan Thoravi Kumaravel

Retrieving keywords (bidwords) with the same intent as query, referred to as close variant keywords, is of prime importance for effective targeted search advertising. For head and torso search queries, sponsored search engines use a huge…

Computation and Language · Computer Science 2021-06-08 Akash Kumar Mohankumar , Nikit Begwani , Amit Singh

Large Language Models (LLMs) have shown strong capabilities in Natural Language Understanding and Generation, but deploying them directly in online advertising systems is often impractical due to strict millisecond-level latency…

Interactive search sessions often contain multiple queries, where the user submits a reformulated version of the previous query in response to the original results. We aim to enhance the query recommendation experience for a commercial…

Information Retrieval · Computer Science 2020-03-03 Gaurav Verma , Vishwa Vinay , Sahil Bansal , Shashank Oberoi , Makkunda Sharma , Prakhar Gupta

With AI-generated content becoming ubiquitous across the web, social media, and other digital platforms, it is vital to examine how such content are inspired and generated. The creation of AI-generated images often involves refining the…

Artificial Intelligence · Computer Science 2025-04-30 Khoi Trinh , Scott Seidenberger , Raveen Wijewickrama , Murtuza Jadliwala , Anindya Maiti

For personalized marketing, a new challenge of how to effectively algorithm the A/B testing to maximize user response is urgently to be overcome. In this paper, we present a new approach, the RL-LLM-AB test framework, for using…

Information Retrieval · Computer Science 2025-06-10 Haoyang Feng , Yanjun Dai , Yuan Gao

Generative AI (GenAI) image tools are increasingly used in design practice, enabling rapid ideation but offering limited support for refinement tasks such as adjusting layout, scale, or visual attributes. While text prompts and inpainting…

Human-Computer Interaction · Computer Science 2026-02-10 Hyerim Park , Phuong Thao Tran , Andre Luckow , Ceenu George , Michael Sedlmair , Malin Eiband

With the advances of deep learning techniques, text generation is attracting increasing interest in the artificial intelligence (AI) community, because of its wide applications and because it is an essential component of AI. Traditional…

Computation and Language · Computer Science 2023-09-19 Lili Mou

Video is a powerful medium for communication and storytelling, yet reauthoring existing footage remains challenging. Even simple edits often demand expertise, time, and careful planning, constraining how creators envision and shape their…

Human-Computer Interaction · Computer Science 2026-04-07 Sitong Wang , Anh Truong , Lydia B. Chilton , Dingzeyu Li

The advent of artificial intelligence has contributed in a groundbreaking transformation of the fashion industry, redefining creativity and innovation in unprecedented ways. This work investigates methodologies for generating tailored…

Computer Vision and Pattern Recognition · Computer Science 2024-09-11 Georgia Argyrou , Angeliki Dimitriou , Maria Lymperaiou , Giorgos Filandrianos , Giorgos Stamou

With the rapid growth of online video consumption, video advertising has become increasingly dominant in the digital advertising landscape. Yet diverse users and viewing contexts makes one-size-fits-all ad creatives insufficient for…

Information Retrieval · Computer Science 2026-03-03 Yiyan Xu , Ruoxuan Xia , Wuqiang Zheng , Fengbin Zhu , Wenjie Wang , Fuli Feng

In response to the limitations of manual ad creation, significant research has been conducted in the field of automatic ad text generation (ATG). However, the lack of comprehensive benchmarks and well-defined problem sets has made comparing…

Computation and Language · Computer Science 2024-06-18 Masato Mita , Soichiro Murakami , Akihiko Kato , Peinan Zhang