activity
20202025
most citedClick-Through Rate Prediction in Online Advertising: A Literature Review

141 citations · 288 across the 11 of their papers we have counts for

collaborators

12 papers

cs.IR2025★ 1 cited

Toward a benchmark for CTR prediction in online advertising: datasets, evaluation protocols and perspectives

Shan Gao, Yanwu Yang

This research designs a unified architecture of CTR prediction benchmark (Bench-CTR) platform that offers flexible interfaces with datasets and components of a wide range of CTR pr…

cs.IR2025

Conversion rate prediction in online advertising: modeling techniques, performance evaluation and future directions

Tao Xue, Yanwu Yang, Panyu Zhai

Conversion and conversion rate (CVR) prediction play a critical role in efficient advertising decision-making. In past decades, although researchers have developed plenty of models…

cs.CV2023★ 1 cited

Why is the winner the best?

Matthias Eisenmann, Annika Reinke, Vivienn Weru +122

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to in…

cs.IR2023★ 27 cited

Keyword Decisions in Sponsored Search Advertising: A Literature Review and Research Agenda

Yanwu Yang, Huiran Li

In sponsored search advertising (SSA), keywords serve as the basic unit of business model, linking three stakeholders: consumers, advertisers and search engines. This paper present…

cs.IR2023★ 45 cited

Causality-based CTR Prediction using Graph Neural Networks

Panyu Zhai, Yanwu Yang, Chunjie Zhang

As a prevalent problem in online advertising, CTR prediction has attracted plentiful attention from both academia and industry. Recent studies have been reported to establish CTR p…

cs.IR2022★ 18 cited

Keyword Targeting Optimization in Sponsored Search Advertising: Combining Selection and Matching

Huiran Li, Yanwu Yang

In sponsored search advertising (SSA), advertisers need to select keywords and determine matching types for selected keywords simultaneously, i.e., keyword targeting. An optimal ke…

cs.AI2022★ 19 cited

Aggregate effects of advertising decisions: a complex systems look at search engine advertising via an experimental study

Yanwu Yang, Xin Li, Bernard J. Jansen +1

Purpose: We model group advertising decisions, which are the collective decisions of every single advertiser within the set of advertisers who are competing in the same auction or…

cs.AI2022★ 29 cited

Optimal Keywords Grouping in Sponsored Search Advertising under Uncertain Environments

Huiran Li, Yanwu Yang

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 cha…

cs.AI2022★ 7 cited

Learning Parameters for a Generalized Vidale-Wolfe Response Model with Flexible Ad Elasticity and Word-of-Mouth

Yanwu Yang, Baozhu Feng, Daniel Zeng

In this research, we investigate a generalized form of Vidale-Wolfe (GVW) model. One key element of our modeling work is that the GVW model contains two useful indexes representing…

cs.IR2022

Keyword Optimization in Sponsored Search Advertising: A Multi-Level Computational Framework

Yanwu Yang, Bernard J. Jansen, Yinghui Yang +2

In sponsored search advertising, keywords serve as an essential bridge linking advertisers, search users and search engines. Advertisers have to deal with a series of keyword decis…

cs.IR2022★ 141 cited

Click-Through Rate Prediction in Online Advertising: A Literature Review

Yanwu Yang, Panyu Zhai

Predicting the probability that a user will click on a specific advertisement has been a prevalent issue in online advertising, attracting much research attention in the past decad…

cs.CY2020

How Search Engine Advertising Affects Sales over Time: An Empirical Investigation

Yanwu Yang, Kang Zhao, Daniel Zeng +1

As a mainstream marketing channel on the Internet, Search Engine Advertising (SEA) has a huge business impact and attracts a plethora of attention from both academia and industry.…