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This paper focuses on automatically generating the text of an ad, and the goal is that the generated text can capture user interest for achieving higher click-through rate (CTR). We propose CREATER, a CTR-driven advertising text generation…

Computation and Language · Computer Science 2022-05-19 Penghui Wei , Xuanhua Yang , Shaoguo Liu , Liang Wang , Bo Zheng

Advertising (ad for short) keyword suggestion is important for sponsored search to improve online advertising and increase search revenue. There are two common challenges in this task. First, the keyword bidding problem: hot ad keywords are…

Computation and Language · Computer Science 2019-02-28 Hao Zhou , Minlie Huang , Yishun Mao , Changlei Zhu , Peng Shu , Xiaoyan Zhu

Advertising text plays a critical role in determining click-through rates (CTR) in online advertising. Large Language Models (LLMs) offer significant efficiency advantages over manual ad text creation. However, LLM-generated ad texts do not…

Information Retrieval · Computer Science 2025-08-05 Yanda Chen , Zihui Ren , Qixiang Gao , Jiale Chen , Si Chen , Xubin Li , Tiezheng Ge , Bo Zheng

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

Natural language generation methods have emerged as effective tools to help advertisers increase the number of online advertisements they produce. This survey entails a review of the research trends on this topic over the past decade, from…

Computation and Language · Computer Science 2023-06-23 Soichiro Murakami , Sho Hoshino , Peinan Zhang

An important task for recommender system is to generate explanations according to a user's preferences. Most of the current methods for explainable recommendations use structured sentences to provide descriptions along with the…

Computation and Language · Computer Science 2017-07-07 Felipe Costa , Sixun Ouyang , Peter Dolog , Aonghus Lawlor

Generating realistic and user-preferred advertisements is a key challenge in e-commerce. Existing approaches utilize multiple independent models driven by click-through-rate (CTR) to controllably create attractive image or text…

Computer Vision and Pattern Recognition · Computer Science 2026-05-13 Yexing Xu , Wei Feng , Shen Zhang , Haohan Wang , Yuxin Qin , Yaoyu Li , Ao Ma , Yuhao Luo , Lu Wang , Xudong Ren , Haoran Wang , Run Ling , Zheng Zhang , Jingjing Lv , Junjie Shen , Ching Law , Longguang Wang , Yulan Guo

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

The goal of product copywriting is to capture the interest of potential buyers by emphasizing the features of products through text descriptions. As e-commerce platforms offer a wide range of services, it's becoming essential to dynamically…

Computation and Language · Computer Science 2024-05-15 Yu-Xiang Lin , Wei-Yun Ma

Click-Through Rate (CTR) prediction models are integral to a myriad of industrial settings, such as personalized search advertising. Current methods typically involve feature extraction from users' historical behavior sequences combined…

Machine Learning · Computer Science 2025-07-16 Lingwei Kong , Lu Wang , Changping Peng , Zhangang Lin , Ching Law , Jingping Shao

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

Telehealth helps to facilitate access to medical professionals by enabling remote medical services for the patients. These services have become gradually popular over the years with the advent of necessary technological infrastructure. The…

Computation and Language · Computer Science 2022-07-01 Hadi Jahanshahi , Syed Kazmi , Mucahit Cevik

How will generative AI pay for itself? Unless charging users for access, selling advertising is the only alternative. Especially in the multi-billion dollar web search market with ads as the main source of revenue, the introduction of a…

Information Retrieval · Computer Science 2023-10-10 Ines Zelch , Matthias Hagen , Martin Potthast

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

Automated rationale generation is an approach for real-time explanation generation whereby a computational model learns to translate an autonomous agent's internal state and action data representations into natural language. Training on…

Artificial Intelligence · Computer Science 2019-01-15 Upol Ehsan , Pradyumna Tambwekar , Larry Chan , Brent Harrison , Mark Riedl

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

We present DeepGen, a system deployed at web scale for automatically creating sponsored search advertisements (ads) for BingAds customers. We leverage state-of-the-art natural language generation (NLG) models to generate fluent ads from…

Computation and Language · Computer Science 2022-10-21 Konstantin Golobokov , Junyi Chai , Victor Ye Dong , Mandy Gu , Bingyu Chi , Jie Cao , Yulan Yan , Yi Liu

Sponsored search ads appear next to search results when people look for products and services on search engines. In recent years, they have become one of the most lucrative channels for marketing. As the fundamental basis of search ads,…

Information Retrieval · Computer Science 2021-04-27 Chaozhuo Li , Bochen Pang , Yuming Liu , Hao Sun , Zheng Liu , Xing Xie , Tianqi Yang , Yanling Cui , Liangjie Zhang , Qi Zhang

Although significant progress has been made in many tasks within the field of Natural Language Processing (NLP), Controlled Text Generation (CTG) continues to face numerous challenges, particularly in achieving fine-grained conditional…

Computation and Language · Computer Science 2025-09-18 Xinxu Zhou , Jiaqi Bai , Zhenqi Sun , Fanxiang Zeng , Yue Liu

In sponsored search it is critical to match ads that are relevant to a query and to accurately predict their likelihood of being clicked. Commercial search engines typically use machine learning models for both query-ad relevance matching…

Information Retrieval · Computer Science 2018-03-29 Jelena Gligorijevic , Djordje Gligorijevic , Ivan Stojkovic , Xiao Bai , Amit Goyal , Zoran Obradovic
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