From 5c6147e5a3cf7513b80549caa8c1f181d4edabda Mon Sep 17 00:00:00 2001 From: WuLC Date: Wed, 13 Jun 2018 17:58:58 +0800 Subject: [PATCH 1/2] Paper for Deep&Cross network --- ... 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zuv>Hvz-;+ojm!b(!(r5(qOVVF9fBsoY@Kkp{}qmU>YAL_F_~Tpgi_2lAsu9Ea~zrn zfEJI()Q(4e9{B7rT@W~%MCQP7U|^Cj@F@5%2}4*6k4a$&85qnJG|rYGHJ3G%=-3|N zmQf~aF0094Jm!A^v-qCFz47sE7Uu}p;kt#8n$zbpJ1JZUCFP6jbKB(l+NfM2up}&gK?Oyg+DXoV6r1X$36sNM4k}`_FY2re=JJ>jWl^RxrjH^3 z8P7sVi^?Rf-DNh+@{x&>zDPqEUob24wT@*`8-^5z`%A~MS^kU6l<@#2jMlhOFLs!{ z@{oQIdy4!GTp;U!S~7d!IWEhOPz7OYL+ysfu_zS?8k@nGdQ`@dAGuV9P?JHDoum)3 zJa&n~P#qz%3kafMiU$E?~Ot zXqHD~3*<-KA0eV)wP8%l>bo#HOztrtlT%cxSX~9hDq0IditRAJAQLXaXAEbsd;!@J z&542MF&W1RC1%HQ{DSTW$g`N-qgKVoLk*tnFP6b`7d(n%{#Pmz*>mJutkwb;w3_TC z4nr|}s-xac?H>;8(EI~66!xq`m3N6;0cKJ?LY~Z?m&w`g&_8W8uy~J~-8~qd0%7VKi-2%dV@H z>l!oI);ac=6ylt5g367t)F6 literal 0 HcmV?d00001 From 53dcdabf4bca974a0165d3cbb5c955c9e80f6b18 Mon Sep 17 00:00:00 2001 From: WuLC Date: Wed, 13 Jun 2018 18:07:45 +0800 Subject: [PATCH 2/2] Update README --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 285c773..3c0bd10 100644 --- a/README.md +++ b/README.md @@ -32,6 +32,8 @@ Online Optimization,Parallel SGD,FTRL等优化方法,实用并且能够给 ### CTR Prediction CTR预估模型相关问题,作为计算广告的核心,CTR预估永远是研究的热点,下面每一篇都是非常流行的文章,推荐逐一精读 +* [Deep & Cross Network for Ad Click Predictions.pdf](https://github.com/wzhe06/Ad-papers/blob/master/CTR%20Prediction/Deep%20%26%20Cross%20Network%20for%20Ad%20Click%20Predictions.pdf)
+Google 在17年发表的 Deep&Cross 网络,类似于 Wide&Deep, 比起 PNN 只做了特征二阶交叉,Deep&Cross 理论上能够做任意高阶的特征交叉 * [Deep Crossing- Web-Scale Modeling without Manually Crafted Combinatorial Features.pdf](https://github.com/wzhe06/Ad-papers/blob/master/CTR%20Prediction/Deep%20Crossing-%20Web-Scale%20Modeling%20without%20Manually%20Crafted%20Combinatorial%20Features.pdf)
* [Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction.pdf](https://github.com/wzhe06/Ad-papers/blob/master/CTR%20Prediction/Learning%20Piece-wise%20Linear%20Models%20from%20Large%20Scale%20Data%20for%20Ad%20Click%20Prediction.pdf)
* [Entire Space Multi-Task Model_ An Effective Approach for Estimating Post-Click Conversion Rate.pdf](https://github.com/wzhe06/Ad-papers/blob/master/CTR%20Prediction/Entire%20Space%20Multi-Task%20Model_%20An%20Effective%20Approach%20for%20Estimating%20Post-Click%20Conversion%20Rate.pdf)