From a01831d1ade8027f9b733d858a26436d790c4431 Mon Sep 17 00:00:00 2001 From: frankwhzhang Date: Tue, 19 May 2020 17:57:38 +0800 Subject: [PATCH] add ncf youtube --- core/utils/envs.py | 12 +- doc/imgs/ncf.png | Bin 0 -> 151549 bytes doc/imgs/youtube_dnn.png | Bin 0 -> 220093 bytes models/rank/din/reader.py | 2 +- models/recall/ncf/__init__.py | 13 ++ models/recall/ncf/config.yaml | 53 ++++++++ models/recall/ncf/data/test/small_data.txt | 100 +++++++++++++++ models/recall/ncf/data/train/small_data.txt | 100 +++++++++++++++ models/recall/ncf/model.py | 115 ++++++++++++++++++ models/recall/ncf/movielens_infer_reader.py | 39 ++++++ models/recall/ncf/movielens_reader.py | 42 +++++++ models/recall/readme.md | 24 +++- models/recall/youtube_dnn/__init__.py | 13 ++ models/recall/youtube_dnn/config.yaml | 49 ++++++++ .../youtube_dnn/data/test/small_data.txt | 100 +++++++++++++++ .../youtube_dnn/data/train/samll_data.txt | 100 +++++++++++++++ models/recall/youtube_dnn/model.py | 86 +++++++++++++ models/recall/youtube_dnn/random_reader.py | 47 +++++++ 18 files changed, 881 insertions(+), 14 deletions(-) create mode 100644 doc/imgs/ncf.png create mode 100644 doc/imgs/youtube_dnn.png create mode 100755 models/recall/ncf/__init__.py create mode 100644 models/recall/ncf/config.yaml create mode 100644 models/recall/ncf/data/test/small_data.txt create mode 100644 models/recall/ncf/data/train/small_data.txt create mode 100644 models/recall/ncf/model.py create mode 100644 models/recall/ncf/movielens_infer_reader.py create mode 100644 models/recall/ncf/movielens_reader.py create mode 100755 models/recall/youtube_dnn/__init__.py create mode 100644 models/recall/youtube_dnn/config.yaml create mode 100644 models/recall/youtube_dnn/data/test/small_data.txt create mode 100644 models/recall/youtube_dnn/data/train/samll_data.txt create mode 100644 models/recall/youtube_dnn/model.py create mode 100644 models/recall/youtube_dnn/random_reader.py diff --git a/core/utils/envs.py b/core/utils/envs.py index 084cec0b..9cbd93fc 100755 --- a/core/utils/envs.py +++ b/core/utils/envs.py @@ -90,18 +90,12 @@ def get_global_envs(): def path_adapter(path): - def adapt(l_p): - if get_platform() == "WINDOWS": - adapted_p = l_p.split("paddlerec.")[1].replace(".", "\\") - else: - adapted_p = l_p.split("paddlerec.")[1].replace(".", "/") - return adapted_p - if path.startswith("paddlerec."): package = get_runtime_environ("PACKAGE_BASE") - return os.path.join(package, adapt(path)) + l_p = path.split("paddlerec.")[1].replace(".", "/") + return os.path.join(package, l_p) else: - return adapt(path) + return path def windows_path_converter(path): diff --git a/doc/imgs/ncf.png b/doc/imgs/ncf.png new file mode 100644 index 0000000000000000000000000000000000000000..2691ed9f851a3e1e4d7c22ac3bd6a49fe7f01b54 GIT binary patch literal 151549 zcmeGEWmp~CvNjA80%2kSf(HmpT!OnhOdxoILvVL@cXuba1$PMU!QI`1yF++8`#gKC zeXeiqf8Wo;)i9fu(LJh0Ro!)0L5Q4;I5NU}1SlvdWC@6f0u&TXEEE*G8u)M)B? 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+[Youtube_DNN](https://static.googleusercontent.com/media/research.google.com/zh-CN//pubs/archive/45530.pdf): +

+ +

+ [SSR](http://sonyis.me/paperpdf/spr209-song_sigir16.pdf):

+[NCF](https://arxiv.org/pdf/1708.05031.pdf): +

+ +

+ [GNN](https://arxiv.org/abs/1811.00855):

## 使用教程 -### 训练&预测 +### 训练 预测 ```shell python -m paddlerec.run -m paddlerec.models.recall.word2vec # word2vec python -m paddlerec.run -m paddlerec.models.recall.ssr # ssr python -m paddlerec.run -m paddlerec.models.recall.gru4rec # gru4rec python -m paddlerec.run -m paddlerec.models.recall.gnn # gnn +python -m paddlerec.run -m paddlerec.models.recall.ncf # ncf +python -m paddlerec.run -m paddlerec.models.recall.youtube_dnn # youtube_dnn ``` ## 效果对比 ### 模型效果列表 -| 数据集 | 模型 | loss | Recall@20 | +| 数据集 | 模型 | HR@10 | Recall@20 | | :------------------: | :--------------------: | :---------: |:---------: | | DIGINETICA | GNN | -- | 0.507 | | RSC15 | GRU4REC | -- | 0.670 | | RSC15 | SSR | -- | 0.590 | +| MOVIELENS | NCF | 0.688 | -- | +| -- | Youtube | -- | -- | | 1 Billion Word Language Model Benchmark | Word2Vec | -- | 0.54 | diff --git a/models/recall/youtube_dnn/__init__.py b/models/recall/youtube_dnn/__init__.py new file mode 100755 index 00000000..abf198b9 --- /dev/null +++ b/models/recall/youtube_dnn/__init__.py @@ -0,0 +1,13 @@ +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/models/recall/youtube_dnn/config.yaml b/models/recall/youtube_dnn/config.yaml new file mode 100644 index 00000000..6cffbaba --- /dev/null +++ b/models/recall/youtube_dnn/config.yaml @@ -0,0 +1,49 @@ +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +train: + trainer: + # for cluster training + strategy: "async" + + epochs: 3 + workspace: "paddlerec.models.recall.youtube_dnn" + device: cpu + + reader: + batch_size: 2 + class: "{workspace}/random_reader.py" + train_data_path: "{workspace}/data/train" + + model: + models: "{workspace}/model.py" + hyper_parameters: + watch_vec_size: 64 + search_vec_size: 64 + other_feat_size: 64 + output_size: 100 + layers: [128, 64, 32] + learning_rate: 0.01 + optimizer: sgd + + save: + increment: + dirname: "increment" + epoch_interval: 2 + save_last: True + inference: + dirname: "inference" + epoch_interval: 4 + save_last: True diff --git a/models/recall/youtube_dnn/data/test/small_data.txt b/models/recall/youtube_dnn/data/test/small_data.txt new file mode 100644 index 00000000..c3c4cf5f --- /dev/null +++ b/models/recall/youtube_dnn/data/test/small_data.txt @@ -0,0 +1,100 @@ +4764,174,1 +4764,2958,0 +4764,452,0 +4764,1946,0 +4764,3208,0 +2044,2237,1 +2044,1998,0 +2044,328,0 +2044,1542,0 +2044,1932,0 +4276,65,1 +4276,3247,0 +4276,942,0 +4276,3666,0 +4276,2222,0 +3933,682,1 +3933,2451,0 +3933,3695,0 +3933,1643,0 +3933,3568,0 +1151,1265,1 +1151,118,0 +1151,2532,0 +1151,2083,0 +1151,2350,0 +1757,876,1 +1757,201,0 +1757,3633,0 +1757,1068,0 +1757,2549,0 +3370,276,1 +3370,2435,0 +3370,606,0 +3370,910,0 +3370,2146,0 +5137,1018,1 +5137,2163,0 +5137,3167,0 +5137,2315,0 +5137,3595,0 +3933,2831,1 +3933,2881,0 +3933,2949,0 +3933,3660,0 +3933,417,0 +3102,999,1 +3102,1902,0 +3102,2161,0 +3102,3042,0 +3102,1113,0 +2022,336,1 +2022,1672,0 +2022,2656,0 +2022,3649,0 +2022,883,0 +2664,655,1 +2664,3660,0 +2664,1711,0 +2664,3386,0 +2664,1668,0 +25,701,1 +25,32,0 +25,2482,0 +25,3177,0 +25,2767,0 +1738,1643,1 +1738,2187,0 +1738,228,0 +1738,650,0 +1738,3101,0 +5411,1241,1 +5411,2546,0 +5411,3019,0 +5411,3618,0 +5411,1674,0 +638,579,1 +638,3512,0 +638,783,0 +638,2111,0 +638,1880,0 +3554,200,1 +3554,2893,0 +3554,2428,0 +3554,969,0 +3554,2741,0 +4283,1074,1 +4283,3056,0 +4283,2032,0 +4283,405,0 +4283,1505,0 +5111,200,1 +5111,3488,0 +5111,477,0 +5111,2790,0 +5111,40,0 +3964,515,1 +3964,1528,0 +3964,2173,0 +3964,1701,0 +3964,2832,0 diff --git a/models/recall/youtube_dnn/data/train/samll_data.txt b/models/recall/youtube_dnn/data/train/samll_data.txt new file mode 100644 index 00000000..c3c4cf5f --- /dev/null +++ b/models/recall/youtube_dnn/data/train/samll_data.txt @@ -0,0 +1,100 @@ +4764,174,1 +4764,2958,0 +4764,452,0 +4764,1946,0 +4764,3208,0 +2044,2237,1 +2044,1998,0 +2044,328,0 +2044,1542,0 +2044,1932,0 +4276,65,1 +4276,3247,0 +4276,942,0 +4276,3666,0 +4276,2222,0 +3933,682,1 +3933,2451,0 +3933,3695,0 +3933,1643,0 +3933,3568,0 +1151,1265,1 +1151,118,0 +1151,2532,0 +1151,2083,0 +1151,2350,0 +1757,876,1 +1757,201,0 +1757,3633,0 +1757,1068,0 +1757,2549,0 +3370,276,1 +3370,2435,0 +3370,606,0 +3370,910,0 +3370,2146,0 +5137,1018,1 +5137,2163,0 +5137,3167,0 +5137,2315,0 +5137,3595,0 +3933,2831,1 +3933,2881,0 +3933,2949,0 +3933,3660,0 +3933,417,0 +3102,999,1 +3102,1902,0 +3102,2161,0 +3102,3042,0 +3102,1113,0 +2022,336,1 +2022,1672,0 +2022,2656,0 +2022,3649,0 +2022,883,0 +2664,655,1 +2664,3660,0 +2664,1711,0 +2664,3386,0 +2664,1668,0 +25,701,1 +25,32,0 +25,2482,0 +25,3177,0 +25,2767,0 +1738,1643,1 +1738,2187,0 +1738,228,0 +1738,650,0 +1738,3101,0 +5411,1241,1 +5411,2546,0 +5411,3019,0 +5411,3618,0 +5411,1674,0 +638,579,1 +638,3512,0 +638,783,0 +638,2111,0 +638,1880,0 +3554,200,1 +3554,2893,0 +3554,2428,0 +3554,969,0 +3554,2741,0 +4283,1074,1 +4283,3056,0 +4283,2032,0 +4283,405,0 +4283,1505,0 +5111,200,1 +5111,3488,0 +5111,477,0 +5111,2790,0 +5111,40,0 +3964,515,1 +3964,1528,0 +3964,2173,0 +3964,1701,0 +3964,2832,0 diff --git a/models/recall/youtube_dnn/model.py b/models/recall/youtube_dnn/model.py new file mode 100644 index 00000000..63d1fd2f --- /dev/null +++ b/models/recall/youtube_dnn/model.py @@ -0,0 +1,86 @@ +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import math +import paddle.fluid as fluid + +from paddlerec.core.utils import envs +from paddlerec.core.model import Model as ModelBase +import numpy as np + + +class Model(ModelBase): + def __init__(self, config): + ModelBase.__init__(self, config) + + def input_data(self, is_infer=False): + + watch_vec_size = envs.get_global_env("hyper_parameters.watch_vec_size", None, self._namespace) + search_vec_size = envs.get_global_env("hyper_parameters.search_vec_size", None, self._namespace) + other_feat_size = envs.get_global_env("hyper_parameters.other_feat_size", None, self._namespace) + + watch_vec = fluid.data(name="watch_vec", shape=[None, watch_vec_size], dtype="float32") + search_vec = fluid.data(name="search_vec", shape=[None, search_vec_size], dtype="float32") + other_feat = fluid.data(name="other_feat", shape=[None, other_feat_size], dtype="float32") + label = fluid.data(name="label", shape=[None, 1], dtype="int64") + inputs = [watch_vec] + [search_vec] + [other_feat] + [label] + self._data_var = inputs + + return inputs + + def fc(self, tag, data, out_dim, active='relu'): + init_stddev = 1.0 + scales = 1.0 / np.sqrt(data.shape[1]) + + if tag == 'l4': + p_attr = fluid.param_attr.ParamAttr(name='%s_weight' % tag, + initializer=fluid.initializer.NormalInitializer(loc=0.0, scale=init_stddev * scales)) + else: + p_attr = None + + b_attr = fluid.ParamAttr(name='%s_bias' % tag, initializer=fluid.initializer.Constant(0.1)) + + out = fluid.layers.fc(input=data, + size=out_dim, + act=active, + param_attr=p_attr, + bias_attr =b_attr, + name=tag) + return out + + def net(self, inputs): + output_size = envs.get_global_env("hyper_parameters.output_size", None, self._namespace) + layers = envs.get_global_env("hyper_parameters.layers", None, self._namespace) + concat_feats = fluid.layers.concat(input=inputs[:-1], axis=-1) + + l1 = self.fc('l1', concat_feats, layers[0], 'relu') + l2 = self.fc('l2', l1, layers[1], 'relu') + l3 = self.fc('l3', l2, layers[2], 'relu') + l4 = self.fc('l4', l3, output_size, 'softmax') + + num_seqs = fluid.layers.create_tensor(dtype='int64') + acc = fluid.layers.accuracy(input=l4, label=inputs[-1], total=num_seqs) + + cost = fluid.layers.cross_entropy(input=l4, label=inputs[-1]) + avg_cost = fluid.layers.mean(cost) + + self._cost = avg_cost + self._metrics["acc"] = acc + + def train_net(self): + input_data = self.input_data() + self.net(input_data) + + def infer_net(self): + pass diff --git a/models/recall/youtube_dnn/random_reader.py b/models/recall/youtube_dnn/random_reader.py new file mode 100644 index 00000000..723c66f9 --- /dev/null +++ b/models/recall/youtube_dnn/random_reader.py @@ -0,0 +1,47 @@ +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from __future__ import print_function + +from paddlerec.core.reader import Reader +from paddlerec.core.utils import envs +from collections import defaultdict +import numpy as np + + +class TrainReader(Reader): + def init(self): + self.watch_vec_size = envs.get_global_env("hyper_parameters.watch_vec_size", None, "train.model") + self.search_vec_size = envs.get_global_env("hyper_parameters.search_vec_size", None, "train.model") + self.other_feat_size = envs.get_global_env("hyper_parameters.other_feat_size", None, "train.model") + self.output_size = envs.get_global_env("hyper_parameters.output_size", None, "train.model") + + def generate_sample(self, line): + """ + the file is not used + """ + + def reader(): + """ + This function needs to be implemented by the user, based on data format + """ + + feature_name = ["watch_vec", "search_vec", "other_feat", "label"] + yield zip(feature_name, [np.random.rand(self.watch_vec_size).tolist()] + + [np.random.rand(self.search_vec_size).tolist()] + + [np.random.rand(self.other_feat_size).tolist()] + + [[np.random.randint(self.output_size)]] ) + + return reader + + -- GitLab