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# tagspace文本分类模型
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+ ** [ AI Studio在线运行环境] ( https://aistudio.baidu.com/aistudio/projectdetail/3238891 ) **
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# textcnn文本分类模型
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+ ** [ AI Studio在线运行环境] ( https://aistudio.baidu.com/aistudio/projectdetail/3238415 ) **
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# DSSM文本匹配模型
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- ** [ AI Studio在线运行环境] ( https://aistudio.baidu.com/aistudio/projectdetail/3217658?contributionType=1 ) **
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+ ** [ AI Studio在线运行环境] ( https://aistudio.baidu.com/aistudio/projectdetail/3238124 ) **
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# match-pyramid文本匹配模型
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+ ** [ AI Studio在线运行环境] ( https://aistudio.baidu.com/aistudio/projectdetail/3238192 ) **
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# multiview-simnet文本匹配模型
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+ ** [ AI Studio在线运行环境] ( https://aistudio.baidu.com/aistudio/projectdetail/3238206 ) **
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# ESMM
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+ ** [ AI Studio在线运行环境] ( https://aistudio.baidu.com/aistudio/projectdetail/3238583 ) **
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# 元学习MAML算法
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+ ** [ AI Studio在线运行环境] ( https://aistudio.baidu.com/aistudio/projectdetail/3238412 ) **
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# MMOE
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+ ** [ AI Studio在线运行环境] ( https://aistudio.baidu.com/aistudio/projectdetail/3238934 ) **
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# PLE
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+ ** [ AI Studio在线运行环境] ( https://aistudio.baidu.com/aistudio/projectdetail/3238938 ) **
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# ShareBottom
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+ ** [ AI Studio在线运行环境] ( https://aistudio.baidu.com/aistudio/projectdetail/3238943 ) **
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├── data # 文档
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# 基于BST模型的点击率预估模型
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+ ** [ AI Studio在线运行环境] ( https://aistudio.baidu.com/aistudio/projectdetail/3240205 ) **
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# 基于DeepAndCross模型的点击率预估模型
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+ ** [ AI Studio在线运行环境] ( https://aistudio.baidu.com/aistudio/projectdetail/3240207 ) **
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# 基于deepFEFM模型的点击率预估模型
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+ ** [ AI Studio在线运行环境] ( https://aistudio.baidu.com/aistudio/projectdetail/3240209 ) **
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# 基于deepFM模型的点击率预估模型
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# 基于DIEN模型的点击率预估模型
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# 基于 DIFM 模型的点击率预估模型
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# 基于DIN模型的点击率预估模型
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# 基于 DLRM 模型的点击率预估模型
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# DMR模型
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+ ** [ AI Studio在线运行环境] ( https://aistudio.baidu.com/aistudio/projectdetail/3240346 ) **
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# 基于DNN模型的点击率预估模型
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# 基于FFM模型的点击率预估模型
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# 基于FM模型的点击率预估模型
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# 基于GateNet模型的点击率预估模型
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+ ** [ AI Studio在线运行环境] ( https://aistudio.baidu.com/aistudio/projectdetail/3240375 ) **
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# 基于logistic_regression模型的点击率预估模型
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# 基于NAML模型的点击率预估模型
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# wide&deep
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+ ** [ AI Studio在线运行环境] ( https://aistudio.baidu.com/aistudio/projectdetail/3238421 ) **
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# 基于xDeepFM模型的点击率预估模型
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# Distributed Deepwalk in PGL
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# MIND(Multi-Interest Network with Dynamic Routing)
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# NCF召回模型
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# Skip-Gram W2V
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