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awesome-deep-learning-papers-for-search-recommendation-advertising

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.

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

deepseg

Chinese word segmentation in tensorflow 2.x

fpmc

Python implementation of "Factorizing Personalized Markov Chains for Next-Basket Recommendation"

ijcai17_tianchi_rank4

info7374_algorithmicdigitalmarketingteam3

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

recommendationsystem

Book recommender system using collaborative filtering based on Spark

recommenders

Best Practices on Recommendation Systems

sequence-based-recommendations

shan

Sequential Recommender System based on Hierarchical Attention Network

tensorflow-bpr

Codes for BPR + MF using TensorFlow APIs.

tensorflow-deepfm

Tensorflow implementation of DeepFM for CTR prediction.

tf-recomm

Tensorflow-based Recommendation systems

top-ai-conferences-paper-with-code

This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code