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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

E-commerce sellers are recommended keyphrases based on their inventory on which they advertise to increase buyer engagement (clicks/sales). Keyphrases must be pertinent to items; otherwise, it can result in seller dissatisfaction and poor…

Information Retrieval · Computer Science 2025-05-28 Soumik Dey , Wei Zhang , Hansi Wu , Bingfeng Dong , Binbin Li

Developing a universal model that can efficiently and effectively respond to a wide range of information access requests -- from retrieval to recommendation to question answering -- has been a long-lasting goal in the information retrieval…

Information Retrieval · Computer Science 2023-04-27 Hansi Zeng , Surya Kallumadi , Zaid Alibadi , Rodrigo Nogueira , Hamed Zamani

In search advertising, keyword matching connects user queries with relevant ads. While token-based matching increases ad coverage, it can reduce relevance due to overly permissive semantic expansion. This work extends keyword reach through…

Information Retrieval · Computer Science 2025-05-27 Dipanwita Saha , Anis Zaman , Hua Zou , Ning Chen , Xinxin Shu , Nadia Vase , Abraham Bagherjeiran

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

Sponsored Search is a major source of revenue for web search engines. Since sponsored search follows a pay-per-click model, showing relevant ads for receiving clicks is crucial. Matching categories of a query and its ad candidates have been…

Information Retrieval · Computer Science 2018-12-04 Hiba Ahsan , Rahul Agrawal

In sponsored search advertising, advertisers need to make a series of keyword decisions. Among them, how to group these keywords to form several adgroups within a campaign is a challenging task, due to the highly uncertain environment of…

Artificial Intelligence · Computer Science 2022-03-07 Huiran Li , Yanwu Yang

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

Sponsored search has more than 20 years of history, and it has been proven to be a successful business model for online advertising. Based on the pay-per-click pricing model and the keyword targeting technology, the sponsored system runs…

Machine Learning · Computer Science 2019-07-30 Xiao Yang , Daren Sun , Ruiwei Zhu , Tao Deng , Zhi Guo , Jiao Ding , Shouke Qin , Zongyao Ding , Yanfeng Zhu

In this paper, we study multiple problems from sponsored product optimization in ad system, including position-based de-biasing, click-conversion multi-task learning, and calibration on predicted click-through-rate (pCTR). We propose a…

Information Retrieval · Computer Science 2023-04-19 Yanbing Xue , Bo Liu , Weizhi Du , Jayanth Korlimarla , Musen Men

Candidate retrieval is a fundamental issue in recommendation system. Given user's recommendation request, relevant candidates need to be retrieved in realtime for subsequent ranking operations. Considering that the retrieval operation is…

Information Retrieval · Computer Science 2019-10-22 Zheng Liu , Yu Xing , Jianxun Lian , Defu Lian , Ziyao Li , Xing Xie

Query-to-bidword(i.e., bidding keyword) rewriting is fundamental to sponsored search, transforming noisy user queries into semantically relevant and commercially valuable keywords. Recent advances in large language models (LLMs) improve…

Information Retrieval · Computer Science 2025-11-25 Xiao Zhang , Guanyu Chen , Boyang Zuo , Feng Li , Pengjie Wang , Jian Xu , Bo Zheng

This paper explores the integration of strategic optimization methods in search advertising, focusing on ad ranking and bidding mechanisms within E-commerce platforms. By employing a combination of reinforcement learning and evolutionary…

Machine Learning · Computer Science 2024-05-30 Chang Zhou , Yang Zhao , Jin Cao , Yi Shen , Xiaoling Cui , Chiyu Cheng

In e-commerce, a user tends to search for the desired product by issuing a query to the search engine and examining the retrieved results. If the search engine was successful in correctly understanding the user's query, it will return…

Information Retrieval · Computer Science 2019-08-26 Saurav Manchanda , Mohit Sharma , George Karypis

Synonymous keyword retrieval has become an important problem for sponsored search ever since major search engines relax the exact match product's matching requirement to a synonymous level. Since the synonymous relations between queries and…

Information Retrieval · Computer Science 2021-05-27 Yijiang Lian , Shuang Li , Chaobing Feng , YanFeng Zhu

In large-scale advertising recommendation systems, retrieval serves as a critical component, aiming to efficiently select a subset of candidate ads relevant to user behaviors from a massive ad inventory for subsequent ranking and…

Machine Learning · Computer Science 2025-12-29 Yifan Lei , Jiahua Luo , Tingyu Jiang , Bo Zhang , Lifeng Wang , Dapeng Liu , Zhaoren Wu , Haijie Gu , Huan Yu , Jie Jiang

In a sponsored search engine, generative retrieval models are recently proposed to mine relevant advertisement keywords for users' input queries. Generative retrieval models generate outputs token by token on a path of the target library…

Information Retrieval · Computer Science 2020-10-22 Weizhen Qi , Yeyun Gong , Yu Yan , Jian Jiao , Bo Shao , Ruofei Zhang , Houqiang Li , Nan Duan , Ming Zhou

With the rise of social networks, information on the internet is no longer solely organized by web pages. Rather, content is generated and shared among users and organized around their social relations on social networks. This presents new…

Information Retrieval · Computer Science 2020-05-12 Yunzhong He , Wenyuan Li , Liang-Wei Chen , Gabriel Forgues , Xunlong Gui , Sui Liang , Bo Hou

In sponsored search, advertisement (abbreviated ad) slots are usually sold by a search engine to an advertiser through an auction mechanism in which advertisers bid on keywords. In theory, auction mechanisms have many desirable economic…

Computer Science and Game Theory · Computer Science 2015-12-11 Bowei Chen , Jun Wang , Ingemar J. Cox , Mohan S. Kankanhalli

In sponsored search advertising (SSA), keywords serve as the basic unit of business model, linking three stakeholders: consumers, advertisers and search engines. This paper presents an overarching framework for keyword decisions that…

Information Retrieval · Computer Science 2023-02-27 Yanwu Yang , Huiran Li