DeepMatch

Major Features and Improvements

• Add ComiRec model. example @liyuan97

Bug Fixes and Other Changes

• Update evaluation logic in multi interets model @shenweichen

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DeepMatch

⚠️This version does not support backward compatibility

• this verson is not compatible with v0.2.* and v0.1.*
• 该版本不支持向下兼容，请按照样例进行完整的样本处理和模型构建

Major Features and Improvements

• Support different negative sampling strategies, including inbatch, uniform, frequency, adaptive. @shenweichen
• refactor & update preprocess.py, @shenweichen
• DSSM inbatch negative sampling example
• YoutubeDNN/MIND frequency negtivte sampling example
• SDM frequency negtivte sampling example

API Changes

• Add new class deepmatch.utils.NegativeSampler
• Remove deepmatch.layers.core.Similarity
• Add sampler_config,loss_type parameters for models
• Change gamma to temperature,gamma=1/temperature

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Deepmatch

Major Features and Improvements

• Add Scaling factor gamma in DSSM,FM @zzszmyf
• Update layers @shenweichen

Bug Fixes and Other Changes

• Fix routing_logits error of MIND #44 #57 #75 @clhchtcjj

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Change Log

Major Features and Improvements

• Support different initializers for different embedding weights and loading pretrained embeddings.

Change Log

Major Features and Improvements

• Add SDM model

• support saving&loading model
• support higher version of tensorflow
• add Google colab notebook

• fix bug of from tensorflow.python.keras._impl.keras.layers import Lambda ImportError: No module named _impl.keras.layers #1
• add issue template