Concept

Click-through rate

OpenAlex ID: C115174607

Deep & Cross Network for Ad Click Predictions

2017 · Ruoxi Wang, Bin Fu, et al. · 1,165

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Deep Interest Evolution Network for Click-Through Rate Prediction

2019 · Guorui Zhou, Na Mou, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1,096

Practical Lessons from Predicting Clicks on Ads at Facebook

2014 · Xinran He, Junfeng Pan, et al. · 890

Ad click prediction

2013 · H. Brendan McMahan, Gary Holt, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 869

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Field-aware Factorization Machines for CTR Prediction

2016 · Yuchin Juan, Yong Zhuang, et al. · ACM Conference on Recommender Systems (RecSys) · 729

Internet advertising: Is anybody watching?

2003 · Xavier Drèze, François-Xavier Hussherr · Journal of Interactive Marketing · 650

DRN

2018 · Guanjie Zheng, Fuzheng Zhang, et al. · 631

A dynamic bayesian network click model for web search ranking

2009 · Olivier Chapelle, Ya Zhang · International World Wide Web Conference (WWW) · 537

A large-scale evaluation and analysis of personalized search strategies

2007 · Zhicheng Dou, Ruihua Song, et al. · International World Wide Web Conference (WWW) · 532

Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition

2019 · Jun Yu, Min Tan, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 502

Modeling the Clickstream: Implications for Web-Based Advertising Efforts

2003 · Patrali Chatterjee, Donna L. Hoffman, et al. · Marketing Science · 472

Web-Scale Bayesian Click-Through Rate Prediction for Sponsored Search Advertising in Microsoft’s Bing Search Engine

2010 · Thore Graepel, Joaquin Quiñonero Candela, et al. · 444

Personalized Online Advertising Effectiveness: The Interplay of What, When, and Where

2015 · Alexander Bleier, Maik Eisenbeiss · Marketing Science · 428

Location, Location, Location: An Analysis of Profitability of Position in Online Advertising Markets

2011 · Ashish Agarwal, Kartik Hosanagar, et al. · Journal of Marketing Research · 372

How much can behavioral targeting help online advertising?

2009 · Jun Yan, Ning Liu, et al. · International World Wide Web Conference (WWW) · 368

Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks

2014 · Yuyu Zhang, Hanjun Dai, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 348

FiBiNET

2019 · Tongwen Huang, Zhiqi Zhang, et al. · ACM Conference on Recommender Systems (RecSys) · 331

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Deep Session Interest Network for Click-Through Rate Prediction

2019 · Yufei Feng, Fuyu Lv, et al. · International Joint Conference on Artificial Intelligence · 310

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Banner Advertiser-web Site Context Congruity and Color Effects on Attention and Attitudes

2005 · Robert S. Moore, Claire Allison Stammerjohan, et al. · Journal of Advertising · 297

Efficient multiple-click models in web search

2009 · Fan Guo, Chao Liu, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 276

Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction

2020 · Qi Pi, Guorui Zhou, et al. · Proceedings of the ... ACM International Conference on Information & Knowledge Management · 269

Customer Acquisition via Display Advertising Using Multi-Armed Bandit Experiments

2017 · Eric M. Schwartz, Eric T. Bradlow, et al. · Marketing Science · 261

Optimizing web search using web click-through data

2004 · Gui-Rong Xue, Hua-Jun Zeng, et al. · 251

Factors Affecting Online Advertising Recall: A Study of Students

2003 · PETER J. DANAHER, GUY W. MULLARKEY · Journal of Advertising Research · 246

Effective Headlines of Newspaper Articles in a Digital Environment

2017 · Jeffrey Kuiken, Anne Schuth, et al. · Digital Journalism · 240

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Works count: 2,773

Citation count: 34,110