Papers on Computational Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.
advertools - online marketing productivity and analysis tools
A simple Python wrapper for the Amazon.com Product Advertising API ⛺
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
The safe post-production pipeline - https://getavalon.github.io/2.0
The ethical ad server - ads for developers without all the tracking
A PyTorch-based toolkit for natural language processing
Automated line item generator for Prebid.js and Google Ad Manager
Python module containing bluetooth utility functions, in particular for easy BLE scanning and advertising
Python package for scanning and advertising Eddystone-URL and Eddystone-UID.
This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).
[ECCV2024] Towards Reliable Advertising Image Generation Using Human Feedback
Easily generate captivating product descriptions using product features and additional sources of information like customer reviews or usage instructions.
A BLE tool library to decode some advertising data in object mode (used on ESP32 and Pycom modules)
A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.
Machine Learning Theory, Engineering and Application 机器学习相关的理论知识、工程实践和应用场景
📝 Summary of recommendation, advertising and search models.【推广搜技术汇总⭐】
Vent intrusive TV ads
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