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Online platforms like Pinterest hosting vast content collections traditionally rely on manual curation or user-generated search logs to create keyword landing pages (KLPs) -- topic-centered collection pages that serve as entry points for…

Information Retrieval · Computer Science 2025-03-04 Faye Zhang , Jasmine Wan , Qianyu Cheng , Jinfeng Rao

On today's Web, users trade access to their private data for content and services. Advertising sustains the business model of many websites and applications. Efficient and successful advertising relies on predicting users' actions and…

Computers and Society · Computer Science 2016-05-25 Silvia Puglisi , David Rebollo-Monedero , Jordi Forné

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…

Personalization despite being an effective solution to the problem information overload remains tricky on account of multiple dimensions to consider. Furthermore, the challenge of avoiding overdoing personalization involves estimation of a…

Information Retrieval · Computer Science 2017-11-09 Arjumand Younus , Muhammad Atif Qureshi

Accurate evaluation of human aesthetic preferences represents a major challenge for creative evolutionary and generative systems research. Prior work has tended to focus on feature measures of the artefact, such as symmetry, complexity and…

Neural and Evolutionary Computing · Computer Science 2020-09-28 Jon McCormack , Andy Lomas

Understanding the customers' high level shopping intent, such as their desire to go camping or hold a birthday party, is critically important for an E-commerce platform; it can help boost the quality of shopping experience by enabling…

Information Retrieval · Computer Science 2023-05-15 Xin Shen , Jiaying Shi , Sungro Yoon , Jon Katzur , Hanbo Wang , Jim Chan , Jin Li

Short video recommendations often face limitations due to the quality of user feedback, which may not accurately depict user interests. To tackle this challenge, a new task has emerged: generating more dependable labels from original…

Information Retrieval · Computer Science 2024-11-15 Yimeng Bai , Yang Zhang , Jing Lu , Jianxin Chang , Xiaoxue Zang , Yanan Niu , Yang Song , Fuli Feng

The state-of-the-art methods for e-commerce product background generation suffer from the inefficiency of designing product-wise prompts when scaling up the production, as well as the ineffectiveness of describing fine-grained styles when…

Computer Vision and Pattern Recognition · Computer Science 2025-01-20 Haohan Wang , Wei Feng , Yaoyu Li , Zheng Zhang , Jingjing Lv , Junjie Shen , Zhangang Lin , Jingping Shao

The quality of non-default ranking on e-commerce platforms, such as based on ascending item price or descending historical sales volume, often suffers from acute relevance problems, since the irrelevant items are much easier to be exposed…

Information Retrieval · Computer Science 2020-08-25 Yunjiang Jiang , Yue Shang , Hongwei Shen , Wen-Yun Yang , Yun Xiao

Online advertising, as the vast market, has gained significant attention in various platforms ranging from search engines, third-party websites, social media, and mobile apps. The prosperity of online campaigns is a challenge in online…

Social and Information Networks · Computer Science 2021-08-23 Zhabiz Gharibshah , Xingquan Zhu

Predicting user responses, such as click-through rate and conversion rate, are critical in many web applications including web search, personalised recommendation, and online advertising. Different from continuous raw features that we…

Machine Learning · Computer Science 2016-01-12 Weinan Zhang , Tianming Du , Jun Wang

Product images are the most impressing medium of customer interaction on the product detail pages of e-commerce websites. Millions of products are onboarded on to webstore catalogues daily and maintaining a high quality bar for a product's…

Computer Vision and Pattern Recognition · Computer Science 2023-01-20 Saurabh Sharma , Faizan Ahemad

E-Commerce (EC) websites provide a large amount of useful information that exceed human cognitive processing ability. In order to help customers in comparing alternatives when buying a product, previous studies designed opinion…

Computation and Language · Computer Science 2023-12-25 Alhassan Mabrouk , Rebeca P. Díaz-Redondo , Mohammed Kayed

Recent advances in Generative Adversarial Networks (GANs) continue to attract the attention of researchers in different fields due to the wide range of applications devised to take advantage of their key features. Most recent GANs are…

Human-Computer Interaction · Computer Science 2023-05-31 Mohammad Lataifeh , Xavier Carrasco , Ashraf Elnagar , Naveed Ahmed

Recent advances in computing systems have led to a new digital era in which every area of life is nearly interrelated with information technology. However, with the trend towards large-scale IT systems, a new challenge has emerged. The…

Software Engineering · Computer Science 2012-02-14 Youssef Bassil , Mohammad Alwani

While infographics have become a powerful medium for communicating data-driven stories, authoring them from scratch remains challenging, especially for novice users. Retrieving relevant exemplars from a large corpus can provide design…

Information Retrieval · Computer Science 2026-04-10 Jing Xu , Jiarui Hu , Zhihao Shuai , Yiyun Chen , Weikai Yang

User-generated reviews serve as crucial references in shopper's decision-making process. Moreover, they improve product sales and validate the reputation of the website as a whole. Thus, it becomes important to design reviews ranking…

Information Retrieval · Computer Science 2020-09-08 Akhil Sai Peddireddy

The tremendous amount of increase in the quantity of information resources available on the web has made the total time that the user spends on a single page very minimal. Users revisiting the same page would be able to fetch the required…

Information Retrieval · Computer Science 2012-02-14 K. S. Kuppusamy , G. Aghila

Generative image modeling techniques such as GAN demonstrate highly convincing image generation result. However, user interaction is often necessary to obtain the desired results. Existing attempts add interactivity but require either…

Graphics · Computer Science 2020-09-01 Toby Chong Long Hin , I-Chao Shen , Issei Sato , Takeo Igarashi

Ethnic clothing is a vital carrier of cultural identity, yet its digital preservation often results in static displays that fail to convey deep cultural meaning or foster user engagement. Existing practices lack a systematic design…

Human-Computer Interaction · Computer Science 2025-11-10 Ma Xiaofan , Yan Lirong , Zhao Weijia , Zeng Weiping , Wu Huiyue