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https://blog.yinjianwen.site/2020/05/11/Deep-Interest-Network/#more
Deep Interest Network for Click-Through Rate Prediction Deep Interest Evolution Network for Click-Through Rate Prediction Deep Se…
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## 一言でいうと
DLでのCTR予測。ユーザ素性の各成分ごとに埋め込みベクトルを作成し、attentionをはりユーザベクトルを作成することで、多様なユーザ行動と1部の行動履歴のみがクリックに寄与することを表現した。attention重みは広告の素性ベクトルと埋め込みベクトルの類似度とした。データスパースネスに対応し低頻度素性ほど強い正則化をかけ過学習を防ぐ。GAUC(AUCの拡張)を評価し既…
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Hi,
Do you have any plan to add a PyTorch implementation of **DHAN** model?
Because, **DHAN** has been applied to three public datasets (Amazon Six-Category, Kindle Shop and Electronics), and ha…
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Deep Interest Network for Click-Through Rate Prediction\|DIN
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**Description:**
The rapid advancement of AI has led to the widespread application of deep learning models across various fields. However, the resource demands for model inference tasks can fluctua…
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Thank you for your amazing work, I noticed that only the code for the inference phase is provided in this repository and not a copy of the code on how to train the model, could you please provide anot…
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In DeepInterestNetwork, there is a target attention between a candidate feature (one column) and a sequence feature, how to implement this target attention in this repo, which can be considered as an …
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Title: Get to know heimdall - an identity aware proxy
Speakers: Dimitrij Drus (@dadrus)
Description: I would like to present a project, I'm maintaining - https://github.com/dadrus/heimdall, whi…
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[Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks](http://ieeexplore.ieee.org/document/8014949/)
In this work, we propose CLass-E…
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## Start with the `why`:
The `why` of this effort (and initial research) is that any many applications depth cameras (and even sometimes LIDAR) are not sufficient to successfully detect objects in …