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Ads Click Through Rate is the ratio of how many users clicked on your ad to how many users viewed your ad. For example, 5 out of 100 users click on the ad while watching a youtube video. So, in this c…
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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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'train.gz' for Click-Through Rate Prediction.ipynb is misisng. Could you please provide a sample version of the data ?
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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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Deep Interest Network for Click-Through Rate Prediction\|DIN
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https://arxiv.org/pdf/1806.03514.pdf
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In paper《Modeling Users’ Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search》，in formula(4)，Should pt be p(t+1)，since pt is calculated by Qt？
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http://www.libfm.org/
Factorization machines (FM) are a generic approach that allows to mimic most factorization models by feature engineering.
http://www.csie.ntu.edu.tw/~cjlin/libffm/
LIBFFM is an…
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您在《Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction》这篇文章中使用了Search advertising dataset和News feed advertising dataset，请问您是怎么处理这些数据集的？ 希望您能在百忙之中抽空解答一下。
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Fit click-through rate prediction model | Failed | 0001/01/01 03:41 | | No feedback found.
Search click-through rate prediction model | Failed | 0001/01/01 03:41 | | No feedba…