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BettrAds Automated Advertisement - Coggle Diagram
BettrAds
Automated Advertisement
Ad Selection and
Recommendation
Revenue Estimation
Chen et al. - 2021 - Automated Creative Optimization for E-Commerce Advertising
http://arxiv.org/abs/2103.00436
Estimate revenue of Creatives in Framework (AutoCO) created from source material
Chen et al. - 2021 - Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure
http://arxiv.org/abs/2103.01453
Selecting Creatives to maximize CTR
Yang et al. - 2019 - AiAds Automated and Intelligent Advertising System
http://arxiv.org/abs/1907.12118
ad creation for Baidu with CTR and CVR estimation
Ad Generation
Tang et al. - 2014 - Ensemble Contextual Bandits
for Personalized Recommendation
https://www.researchgate.net/profile/Yexi-Jiang/publication/266971223_Ensemble_Contextual_Bandits_for_Personalized_Recommendation/links/54abd5f80cf2ce2df6691482/Ensemble-Contextual-Bandits-for-Personalized-Recommendation.pdf
Contextual bandit to predict the CTR
Tang et al. - 2015 - Personalized Recommendation via Parameter-Free
Contextual Bandits
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.697.9630&rep=rep1&type=pdf
Contextual bandits in cold-start problems
Zheng et al. - 2018 - DRN: A Deep Reinforcement Learning Framework for NewsRecommendation
http://personal.psu.edu/~gjz5038/paper/www2018_reinforceRec/www2018_reinforceRec.pdf
Deep Q-Learning for news recommendation
Layout Selection
Tang et al. - 2013 - Automatic ad format selection via contextual bandits
Selecting layout with bandits
http://dl.acm.org/citation.cfm?doid=2505515.2514700
Moriwaki et al. - 2020 - Fatigue-Aware Ad Creative Selection
http://arxiv.org/abs/1908.08936
Creative Selection aware of psychological status
Wang et al - 2021 - A Hybrid Bandit Model with Visual Priors for Creative Ranking
in Display Advertising
https://arxiv.org/pdf/2102.04033.pdf
Hybrid bandit to ranking ads
Visual-aware ranking model (VAM)
Ad Generation
Text Ads
NLP Approaches
Fujita et al. - 2010 - Automatic generation of listing ads by reusing promotional texts
http://dl.acm.org/citation.cfm?doid=2389376.2389401
Generate title and descriptive text based on page information (Japanese)
Hughes et al. - 2019 - Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning
Generating text ads based on RNNs
https://dl.acm.org/doi/10.1145/3292500.3330754
Mishra et al. - 2020 - Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement
Improving ads (has text generation arm)
https://dl.acm.org/doi/10.1145/3340531.3412720
Duan et al. - 2020 - Query-Variant Advertisement Text Generation with Association Knowledge
Template-Focused
Munigala et al. - 2018 - PersuAIDE! An Adaptive Persuasive Text Generation System for Fashion Domain
http://dl.acm.org/citation.cfm?doid=3184558.3186345
https://drive.google.com/file/d/1v16ebjlWoVf4i5H4tL5Z3Z1n-qfmke0Z/view?usp=sharing
Keyword extraction and expansion for descriptive and persuasive text generation.
Ye et al. - 2020 - Variational Template Machine for Data-to-Text Generation
https://arxiv.org/abs/2002.01127
https://drive.google.com/file/d/1YolgftvirKIgQVAQaokPxHFFID0XDrwY/view?usp=sharing
Wiseman et al. - 2019 -Learning Neural Templates for Text Generation
https://drive.google.com/file/d/1_h3PU9PswiUtN7XD5W7PinSvy05uM-6i/view?usp=sharing
http://arxiv.org/abs/1808.10122
https://github.com/harvardnlp/neural-template-gen
Image Ads
Rexroth Xu - 2017 - AI visual design is already here
Alibaba ad designing (medium post)
https://medium.com/@rexrothX/ai-visual-design-is-already-here-and-it-wont-hesitate-to-take-over-your-petty-design-job-934d756db82e
Vempati et al. - 2019 - Enabling Hyper-Personalisation: Automated Ad Creative Generation and Ranking for Fashion e-Commerce
Create layout with photos, text, and fonts
http://arxiv.org/abs/1908.10139
Ranking
Zhang et al. - 2017 - Layout Style Modeling for Automating Banner Design
http://dl.acm.org/citation.cfm?doid=3126686.3126718
General Text Generation
Learning to summarize from human feedback
https://openai.com/blog/learning-to-summarize-with-human-feedback/
https://arxiv.org/pdf/2009.01325.pdf
