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A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

A framework for large scale recommendation algorithms.

DSSM and Multi-View DSSM

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

A simple effective ToolKit for short text matching

Tensorflow implementations of various Deep Semantic Matching Models (DSMM).

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

天池阿里灵杰问天引擎电商搜索算法赛非官方 baseline，又名 NLP 从入门到 22/2771。

Implementation of DSSM for recommendation by PyTorch (Including SENet and random negative sampling)

An easy-to-use for large scale recommendation algorithms.

siamese dssm sentence_similarity sentece_similarity_rank tensorflow

Pytorch Implementation of DSSM (Deep Structured Semantic Models)

MXNet for CTR

基于深度学习的商品推荐系统，高性能，可承受高并发，可跨平台

An industrial-grade implementation of DSSM

基于movieLen1M数据集的DSSM深度召回实验

Deep Semantics Similarity Model in tensorflow.

Text Matching Based on LCQMC: A Large-scale Chinese Question Matching Corpus

This is a Tensorflow implementation of the End-to-End Memory Network applied to the Ubuntu Dialog Corpus. The model can be compared to a LSTM and a DSSM, both available within the implementation.