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ali在《COLD: Towards the Next Generation of Pre-Ranking System》中讲述了他们的实现。 摘要 长期以来,pre-ranking只是ranking模块的一个简化版本,它要处理待排序的更大集合的候选。这里的努力是为了简化ranking模型,以便在online inerence时处理大量数据。例如,在展示广告系统中,SOTA 的preranking模型会根据vector-product based的深度架构:user-wise和ad-wise vectors会以offline方式进行预计算,online时计算获取preranking score。很明显,这种模型限制会导致次优的performance。 本paper中,我们从算法系统co-design的角度来重新思考pre-ranking系统。除了解记模型架构的计算能力(computing ...

2.48 Rating by Usitestat

d0evi1.com was registered 9 years 6 months ago. It has a alexa rank of #5,923,095 in the world. It is a domain having .com extension. It is estimated worth of $ 240.00 and have a daily income of around $ 1.00. As no active threats were reported recently, d0evi1.com is SAFE to browse.

Traffic Report

Daily Unique Visitors: 148
Daily Pageviews: 296

Estimated Valuation

Income Per Day: $ 1.00
Estimated Worth: $ 240.00

Search Engine Indexes

Google Indexed Pages: Not Applicable
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Bing Indexed Pages: Not Applicable

Search Engine Backlinks

Google Backlinks: Not Applicable
Bing Backlinks: Not Applicable
Alexa BackLinks: Not Applicable

Safety Information

Google Safe Browsing: No Risk Issues
Siteadvisor Rating: Not Applicable
WOT Trustworthiness: Very Poor
WOT Privacy: Very Poor
WOT Child Safety: Very Poor

Website Ranks & Scores

Alexa Rank: 5,923,095
PageSpeed Score: 89 ON 100
Domain Authority: 49 ON 100
Bounce Rate: Not Applicable
Time On Site: Not Applicable

Web Server Information

Hosted IP Address:

192.30.252.154

Hosted Country:

United States US

Location Latitude:

37.7757

Location Longitude:

-122.395

Search Engine Results For d0evi1.com

Tensorflow:GPU相关设置问题 - 代码交流

- https://www.daimajiaoliu.com/daima/476241359100404

5.程序中跟训练无关的尽量不要sess.run()操作. 6.训练代码的优化等,可参考:. http://d0evi1.com/tensorflow/performance/. 完 ...


FM算法原理分析与实践| D.W's Notes - Machine Learning

- http://www.csuldw.com/2019/02/08/2019-02-08-fm-algorithm-theory/

2019年2月8日 ... ... http://d0evi1.com/libfm/ · http://ibayer.github.io/fastFM/guide.html · http://www. tk4479.net/jiangda_0_0/article/details/77510029. 版权声明: ...


使用sklearn进行文本TF-IDF处理| minning

- https://minning.github.io/2017/04/12/使用sklearn进行文本TF-IDF处理/

2017年4月12日 ... http://d0evi1.com/sklearn/feature_extraction/. 赏. 谢谢你请我吃糖果. Sklearn. 扫一 扫,分享到微信. 微信分享二维码. 议论文篇章结构自动评价研究 ...


FM with libFM (2012)论文阅读 - 面包多

- https://mianbaoduo.com/o/bread/YZ2Tm5s=

libFM manual中文版:http://d0evi1.com/libfm/. 在MF的基础上,为了兼容MF模型 不支持的非类别型(categorical)特征、自动组合线性模型的高阶特征,提出了FM  ...


我喜欢的个人网站| Zhang Yi

- http://codewithzhangyi.com/2018/07/12/我喜欢的个人网站-updating/

2018年7月12日 ... ... redstonewill.github.io ,主要介绍吴恩达课程笔记,有公众号; liuchi.coding.me ,优秀的面经写手; d0evi1.com ,深度学习,写的很仔细 ...


xgboost对one-hot编码特征特征选择时遇到的问题- 算法之道

- https://www.deeplearn.me/1625.html

http://d0evi1.com/onehot/ · http://xgboost.readthedocs.io/en/latest/R-package/ discoverYourData.html. 发表于:ml. 2017-10-31. # xgboost# 机器学习. 复制链接. 赏.


tensenflow servingtensenflow serving docker部署demo(不包含模型 ...

- https://www.codenong.com/cs105734904/

2020年4月24日 ... 这些文件的作用和代表的意义可以参考这篇文章http://d0evi1.com/tensorflow/ serving/saved_model/. 查看模型输入输出很多时候我们需要查看模型 ...


tensorflow中的datasets以及自定义的数据增强--1.15.0版本- 代码先锋网

- https://www.codeleading.com/article/96543480882/

具体参考: http://d0evi1.com/tensorflow/datasets/. 原始https://github.com/ guoqiangqi/PFLD的代码如下:. import tensorflow as tf. import numpy as np. import cv2.


FM算法原理分析与实践-爱数据

- http://www.itongji.cn/detail?type=99991892

2019年1月27日 ... ... http://d0evi1.com/libfm/ · http://ibayer.github.io/fastFM/guide.html · http://www. tk4479.net/jiangda_0_0/article/details/77510029. End. 作者:拾 ...


d0evi1的博客: (图片流量有限,迁移中!)

- http://d0evi1.com/

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z值1.96 請問這里對應的標準正態分布Z值=1.96是怎么看的? - Bdrbmi

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IT瘾技术推荐" - Browse Latest - RSSing.com

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... 许多台机器资源的话,可以考虑搭建相应集群进行训练。 gensim的教程已经由 笔者进行了翻译,发布在我的github.io上,地址为:. http://d0evi1.github.io/gensim  ...


Environment Modules 环境变量模块化管理工具的使用| BYA's Blog

- https://baiyongan.gitee.io/2019/02/23/Engineering-Environment-module/

2019年2月23日 ... ... python-web-guide · python-编程时光 · 旷世的忧伤 · Andrej Karpathy · 红色石头 · 张怡 · d0evi1 · 谢益辉 · 徐阿衡 · 袁勇. 苟...


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- https://www.twblogs.net/a/5ba0359d2b71771a4da867d5

2018年9月18日 ... 二,sklearn中的模型評估-構建評估函數. (轉載自http://d0evi1.com/sklearn/ model_evaluation/並稍作修改和補充) ...


胡伟的博客| RPM包管理详解

- http://blog.91shouzhuan.com/2019/01/26/rpm包管理详解/

2019年1月26日 ... ... 张逸博客 · 谢乾坤博客 · 倪朋飞博客 · 飞鸿影博客 · 枕边书博客 · d0evi1博客 · 赵亚飞博客 · oilbeater博客 · 大熊博客 · Tim Yang博客 ·...


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Abpr 利用对抗训练技术增强的bpr 机器学习与推荐算法二十次幂. Librec的aobpr 算法实现Osc L9oi4xh3的个人空间Oschina. Bpr Bayesian Personalized Ranking ...


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- https://arabicprogrammer.com/article/7449117743/

4. هناك العديد من طرق التحسين الأخرى ، راجع: https://walsvid.github.io/2017/03/25/ profiletensorflow/ · http://d0evi1.com/tensorflow/performance/ ...

Page Resources Breakdown

Homepage Links Analysis

(图片流量有限,迁移中!) – d0evi1的博客
Describe this nonsense.

Website Inpage Analysis

H1 Headings: 35 H2 Headings: 32
H3 Headings: 9 H4 Headings: 1
H5 Headings: Not Applicable H6 Headings: Not Applicable
Total IFRAMEs: Not Applicable Total Images: 20
Google Adsense: Not Applicable Google Analytics: Not Applicable

Two Phrase Analysis

Words Occurrences Density Possible Spam
feature vector 7 0.141 % No
W \times 6 0.121 % No
\times W 6 0.121 % No
\ …1 5 0.101 % No
\ …2 5 0.101 % No
Reading time 5 0.101 % No
\ …3 5 0.101 % No
RH \times 5 0.101 % No
\times 1 4 0.081 % No
\in \lbrace 4 0.081 % No
1 \times 4 0.081 % No
vectorproduct based 4 0.081 % No
\ …4 4 0.081 % No
2020d0evi1 Reading 4 0.081 % No
略 参考 4 0.081 % No
\in RH 4 0.081 % No
time ~2 4 0.081 % No
\ …7 4 0.081 % No
\ …6 4 0.081 % No
\in Rd' 4 0.081 % No

Four Phrase Analysis

Words Occurrences Density Possible Spam
RH \times W \times 5 0.101 % No
\in RH \times W 4 0.081 % No
Reading time ~2 minutes 4 0.081 % No
2020d0evi1 Reading time ~2 3 0.061 % No
10 2020d0evi1 Reading time 2 0.04 % No
\in R1 \times 1 2 0.04 % No
W_Queryh W_Keyh W_Valueh W_Res 2 0.04 % No
feature vector \x_nv \in 2 0.04 % No
feature vector \x_v \in 2 0.04 % No
R1 \times 1 \times 2 0.04 % No
feature vector \x \in 2 0.04 % No
category embedding是\C C 4 1 0.02 % No
embedding是\C C 4 C 1 0.02 % No
yer中的“shared FC”中,参数数目是\2 C C 1 0.02 % No
K \mid =3310\(表7中的real production 1 0.02 % No
…10 333 Categoryspecific Spatial 1 0.02 % No
categories \\mid K \mid 1 0.02 % No
\\mid K \mid =3310\(表7中的real 1 0.02 % No
C 4 C C'C 1 0.02 % No
4 C C'C 4 1 0.02 % No

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HTTP Header Analysis

Http-Version: 1.1
Status-Code: 200
Status: 200 OK
Server: GitHub.com
Date: Wed, 31 Mar 2021 03:39:52 GMT
Content-Type: text/html; charset=utf-8
Transfer-Encoding: chunked
Last-Modified: Mon, 29 Mar 2021 15:11:59 GMT
Vary: Accept-Encoding
Access-Control-Allow-Origin: *
ETag: W/"6061ee3f-19e7d"
expires: Wed, 31 Mar 2021 03:49:52 GMT
Cache-Control: max-age=600
Content-Encoding: gzip
x-proxy-cache: MISS
X-GitHub-Request-Id: EE00:196F:71D296:E4434D:6063EF08

Domain Information

Domain Registrar: Xin Net Technology Corporation
Registration Date: 2015-04-10 9 years 6 months 3 weeks ago
Last Modified: 2020-08-10 4 years 2 months 2 weeks ago

Domain Nameserver Information

Host IP Address Country
dns10.hichina.com 47.118.199.201 Canada Canada
dns9.hichina.com 139.224.142.112 China China

DNS Record Analysis

Host Type TTL Extra
d0evi1.com A 584 IP: 192.30.252.154
d0evi1.com A 584 IP: 192.30.252.153
d0evi1.com NS 86400 Target: ns1.alidns.com
d0evi1.com NS 86400 Target: ns2.alidns.com
d0evi1.com SOA 360 MNAME: ns1.alidns.com
RNAME: hostmaster.hichina.com
Serial: 2021020209
Refresh: 3600
Retry: 1200
Expire: 86400

Full WHOIS Lookup

Domain Name: D0EVI1.COM
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whois.paycenter.com.cn
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Domain Status: ok https://icann.org/epp#ok
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URL of the ICANN Whois
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