deeprec

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.

A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

Factorization Machine models in PyTorch

CTR prediction model based on spark(LR, GBDT, DNN)

Large batch training of CTR models based on DeepCTR with CowClip.

Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark

Multi-threaded Facebook scraper for social analytics of public and owned pages

✨ DJANGO3.1 网站，集成用户管理，文章博客管理，算法模型可视化系统等功能

IJCAI-18 阿里妈妈搜索广告转化预测初赛方案