From d4425e8608c43fdf7d45dc3d4da6ba30afa0c109 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=B5=85=E6=A2=A6?= Date: Thu, 3 Nov 2022 20:35:27 +0800 Subject: [PATCH] no message --- docs/pics/{EDCN.jpg => EDCN.png} | Bin docs/source/Features.md | 20 +++++++++++--------- docs/source/History.md | 6 +++--- docs/source/index.rst | 2 +- 4 files changed, 15 insertions(+), 13 deletions(-) rename docs/pics/{EDCN.jpg => EDCN.png} (100%) diff --git a/docs/pics/EDCN.jpg b/docs/pics/EDCN.png similarity index 100% rename from docs/pics/EDCN.jpg rename to docs/pics/EDCN.png diff --git a/docs/source/Features.md b/docs/source/Features.md index 4258c115..6acee071 100644 --- a/docs/source/Features.md +++ b/docs/source/Features.md @@ -304,6 +304,17 @@ feature. FEFM has significantly lower model complexity than FFM and roughly the [Pande H. Field-Embedded Factorization Machines for Click-through rate prediction[J]. arXiv preprint arXiv:2009.09931, 2020.](https://arxiv.org/pdf/2009.09931) +### EDCN(Enhancing Explicit and Implicit Feature Interactions DCN) + +EDCN introduces two advanced modules, namelybridge moduleandregulation module, which work collaboratively tocapture the layer-wise interactive signals and learn discriminativefeature distributions for each hidden layer of the parallel networks. + +[**EDCN Model API**](./deepctr.models.edcn.html) + +![EDCN](../pics/EDCN.png) + +[Chen B, Wang Y, Liu Z, et al. Enhancing explicit and implicit feature interactions via information sharing for parallel deep ctr models[C]//Proceedings of the 30th ACM International Conference on Information & Knowledge Management. 2021: 3757-3766.](https://dlp-kdd.github.io/assets/pdf/DLP-KDD_2021_paper_12.pdf) + + ## Sequence Models ### DIN (Deep Interest Network) @@ -413,15 +424,6 @@ information routing across tasks in a general setup. [Tang H, Liu J, Zhao M, et al. Progressive layered extraction (ple): A novel multi-task learning (mtl) model for personalized recommendations[C]//Fourteenth ACM Conference on Recommender Systems. 2020.](https://dl.acm.org/doi/10.1145/3383313.3412236) -### EDCN(Enhancing Explicit and Implicit Feature Interactions DCN) - -EDCN introduces two advanced modules, namelybridge moduleandregulation module, which work collaboratively tocapture the layer-wise interactive signals and learn discriminativefeature distributions for each hidden layer of the parallel networks. - -[**EDCN Model API**](./deepctr.models.edcn.html) - -![EDCN](../pics/EDCN.png) - -[Chen B, Wang Y, Liu Z, et al. Enhancing explicit and implicit feature interactions via information sharing for parallel deep ctr models[C]//Proceedings of the 30th ACM International Conference on Information & Knowledge Management. 2021: 3757-3766.](https://dlp-kdd.github.io/assets/pdf/DLP-KDD_2021_paper_12.pdf) ## Layers diff --git a/docs/source/History.md b/docs/source/History.md index 78030d53..2c64327c 100644 --- a/docs/source/History.md +++ b/docs/source/History.md @@ -1,5 +1,5 @@ # History -- 11/05/2022 : [v0.9.3](https://github.com/shenweichen/DeepCTR/releases/tag/v0.9.3) released.Add [EDCN](). +- 11/05/2022 : [v0.9.3](https://github.com/shenweichen/DeepCTR/releases/tag/v0.9.3) released.Add [EDCN](./Features.html#edcn-enhancing-explicit-and-implicit-feature-interactions-dcn). - 10/15/2022 : [v0.9.2](https://github.com/shenweichen/DeepCTR/releases/tag/v0.9.2) released.Support python `3.9`,`3.10`. - 06/11/2022 : [v0.9.1](https://github.com/shenweichen/DeepCTR/releases/tag/v0.9.1) released.Improve compatibility with tensorflow `2.x`. - 09/03/2021 : [v0.9.0](https://github.com/shenweichen/DeepCTR/releases/tag/v0.9.0) released.Add multitask learning models:[SharedBottom](./Features.html#sharedbottom),[ESMM](./Features.html#esmm-entire-space-multi-task-model),[MMOE](./Features.html#mmoe-multi-gate-mixture-of-experts) and [PLE](./Features.html#ple-progressive-layered-extraction). [running example](./Examples.html#multitask-learning-mmoe) @@ -11,8 +11,8 @@ - 10/11/2020 : [v0.8.2](https://github.com/shenweichen/DeepCTR/releases/tag/v0.8.2) released.Refactor `DNN` Layer. - 09/12/2020 : [v0.8.1](https://github.com/shenweichen/DeepCTR/releases/tag/v0.8.1) released.Improve the reproducibility & fix some bugs. - 06/27/2020 : [v0.8.0](https://github.com/shenweichen/DeepCTR/releases/tag/v0.8.0) released. - - Support `Tensorflow Estimator` for large scale data and distributed training. [example: Estimator with TFRecord](https://deepctr-doc.readthedocs.io/en/latest/Examples.html#estimator-with-tfrecord-classification-criteo) - - Support different initializers for different embedding weights and loading pretrained embeddings. [example](https://deepctr-doc.readthedocs.io/en/latest/FAQ.html#how-to-use-pretrained-weights-to-initialize-embedding-weights-and-frozen-embedding-weights) + - Support `Tensorflow Estimator` for large scale data and distributed training. [example: Estimator with TFRecord](./Examples.html#estimator-with-tfrecord-classification-criteo) + - Support different initializers for different embedding weights and loading pretrained embeddings. [example](./FAQ.html#how-to-use-pretrained-weights-to-initialize-embedding-weights-and-frozen-embedding-weights) - Add new model `FwFM`. - 05/17/2020 : [v0.7.5](https://github.com/shenweichen/DeepCTR/releases/tag/v0.7.5) released.Fix numerical instability in `LayerNormalization`. - 03/15/2020 : [v0.7.4](https://github.com/shenweichen/DeepCTR/releases/tag/v0.7.4) released.Add [FLEN](./Features.html#flen-field-leveraged-embedding-network) and `FieldWiseBiInteraction`. diff --git a/docs/source/index.rst b/docs/source/index.rst index cee88b99..2f7b61b8 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -44,7 +44,7 @@ News ----- 11/05/2022 : Add `EDCN` . `Changelog `_ -10/15/2022 : Support python `3.9`,`3.10`. `Changelog `_ +10/15/2022 : Support python `3.9`,`3.10` . `Changelog `_ 06/11/2022 : Improve compatibility with tensorflow `2.x`. `Changelog `_