Papers on Computational Advertising
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Updated
Feb 9, 2021 - Python
Papers on Computational Advertising
Android application for online privacy and security
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
advertools - online marketing productivity and analysis tools
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
A simple Python wrapper for the Amazon.com Product Advertising API ⛺
a Swift Package that lets you add beautiful and privacy-friendly Ads to your app. These are Advertisements for Indies, by Indies.
Accelerated subscription for international/China region ad filtering rules(国际/中国地区广告过滤规则的加速订阅)
Curated list of ad-free alternatives to popular services on the web
CodeFund is an open source platform that helps fund maintainers, bloggers, and builders through non-tracking ethical ads
Website analytics, JavaScript error tracking + analytics, tag manager, data ingest endpoint creation (tracking pixels). GDPR + CCPA compliant.
A collection of research and application papers of (uncertainty) calibration techniques.
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
A collection of research and survey papers of fraud detection mainly in advertising.
The safe post-production pipeline - https://getavalon.github.io/2.0
The ethical ad server - ads for developers without all the tracking
Deprecated. Please go to https://github.com/gitcoinco/code_fund_ads
A DAG based parallel task schedule framework for galois advertising|基于DAG(Directed Acyclic Graph)的并行任务调度系统,自动推导节点依赖生成DAG。
A PyTorch-based toolkit for natural language processing
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