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OpenAds
来自开放百科 - 灰狐
(版本间的差异)
小 (→愿景) |
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(未显示1个用户的9个中间版本) | |||
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==简介== | ==简介== | ||
+ | [[文件:Elixir-logo.png|right|Elixir]] | ||
+ | [[文件:Erlang-logo.png|right|Erlang]] | ||
+ | [[文件:Matomo-logo.png|right|Matomo]] | ||
+ | [[文件:Revive-adserver-logo.png|right|Revive Adserver]] | ||
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商业的本质是[[灰狐推荐|推荐]],广告其实就是推荐服务,推荐商品、服务、价值给用户。 | 商业的本质是[[灰狐推荐|推荐]],广告其实就是推荐服务,推荐商品、服务、价值给用户。 | ||
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+ | OpenAds.NET powered by [[Elixir]], [[Erlang]] and [[erlang ecosystem]].(2022.10) | ||
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+ | OpenAds 基于 [[Revive Adserver]] 分发 OpenAds 开源广告套件。 | ||
OpenAds.NET: Open Advertising Service Network, 一个开放的[[Advertising Networks]] | OpenAds.NET: Open Advertising Service Network, 一个开放的[[Advertising Networks]] | ||
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OpenAds 将由 [[Clojure]] + [[Apache Storm]] + [[Scala]] + [[Apache Spark]] + [[Hortonworks|HDP]]构建。(2014.07.14) | OpenAds 将由 [[Clojure]] + [[Apache Storm]] + [[Scala]] + [[Apache Spark]] + [[Hortonworks|HDP]]构建。(2014.07.14) | ||
− | OpenAds | + | OpenAds 需要更多人的参与和分享 :) |
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http://www.facebook.com/ads 的思路值得借鉴 | http://www.facebook.com/ads 的思路值得借鉴 | ||
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==堆栈== | ==堆栈== | ||
− | 基于 [[Erlang ecosystem]] | + | 基于 [[PHP]] 技术栈 [[Matomo]] + [[Revive Adserver]] |
+ | |||
+ | 整合 [[Haskell ecosystem]] 和 [[Erlang ecosystem]] | ||
*[[Cowboy]]、[[Zotonic]]、[[RabbitMQ]]、[[Rebar]] | *[[Cowboy]]、[[Zotonic]]、[[RabbitMQ]]、[[Rebar]] | ||
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核心数据库 | 核心数据库 | ||
+ | *[[MariaDB]] 默认 | ||
*[[ScyllaDB]] The Real-Time Big Data Database | *[[ScyllaDB]] The Real-Time Big Data Database | ||
*[https://www.scylladb.com/2020/05/28/sas-institute-changing-all-four-tires-while-driving-an-adtech-engine-at-full-speed/ SAS Institute: Changing All Four Tires While Driving an AdTech Engine at Full Speed] 从 DataStax 迁至 Scylla | *[https://www.scylladb.com/2020/05/28/sas-institute-changing-all-four-tires-while-driving-an-adtech-engine-at-full-speed/ SAS Institute: Changing All Four Tires While Driving an AdTech Engine at Full Speed] 从 DataStax 迁至 Scylla | ||
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==文档== | ==文档== | ||
+ | *[https://docs.huihoo.com/cufp/2013/Introducing-Erlang-to-OpenX.pdf Introducing Erlang to OpenX] [[Erlang]] | ||
*[http://docs.huihoo.com/erlang/conference/euc2015/Building-a-Scalable-Real-Time-Bidding-Exchange.pdf Real Time Bidding with Erlang] | *[http://docs.huihoo.com/erlang/conference/euc2015/Building-a-Scalable-Real-Time-Bidding-Exchange.pdf Real Time Bidding with Erlang] | ||
*[http://docs.huihoo.com/oracle/openworld/2014/THT10095-Building-a-Fully-Integrated-Marketing-Plan.pdf Building a Fully Integrated Marketing Plan] | *[http://docs.huihoo.com/oracle/openworld/2014/THT10095-Building-a-Fully-Integrated-Marketing-Plan.pdf Building a Fully Integrated Marketing Plan] | ||
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[[category:灰狐推广]] | [[category:灰狐推广]] | ||
[[category:advertising]] | [[category:advertising]] | ||
− | [[category: | + | [[category:erlang]] |
[[category:HTML5]] | [[category:HTML5]] | ||
[[category:node.js]] | [[category:node.js]] | ||
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[[category:cassandra]] | [[category:cassandra]] | ||
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[[category:clojure]] | [[category:clojure]] | ||
[[category:huihoo]] | [[category:huihoo]] |
2022年10月10日 (一) 05:20的最后版本
- Advertiser – wants to advertise a product
- Agency – creates the ad components for Advertiser
- Vendor – hosts and serves ad components for Agency
- Publisher – provides the pages on which ads appear
目录 |
[编辑] 简介
商业的本质是推荐,广告其实就是推荐服务,推荐商品、服务、价值给用户。
OpenAds.NET powered by Elixir, Erlang and erlang ecosystem.(2022.10)
OpenAds 基于 Revive Adserver 分发 OpenAds 开源广告套件。
OpenAds.NET: Open Advertising Service Network, 一个开放的Advertising Networks
OpenAds 将由 Clojure + Apache Storm + Scala + Apache Spark + HDP构建。(2014.07.14)
OpenAds 需要更多人的参与和分享 :)
http://www.facebook.com/ads 的思路值得借鉴
Google 广告系统包括以下几个部分:
[编辑] 愿景
Basic Attention Token(基本注意力代币)给出了 OpenAds 的发展愿景
基于区块链技术 变革传统数字广告
[编辑] 堆栈
基于 PHP 技术栈 Matomo + Revive Adserver
整合 Haskell ecosystem 和 Erlang ecosystem
核心数据库
- MariaDB 默认
- ScyllaDB The Real-Time Big Data Database
- SAS Institute: Changing All Four Tires While Driving an AdTech Engine at Full Speed 从 DataStax 迁至 Scylla
- Making Ad Tech Work at Scale: MediaMath Innovates with Scylla 又一家从 Apache Cassandra 迁至 ScyllaDB 的用户
- Scylla Summit Preview: Adventures in AdTech: Processing 50 Billion User Profiles in Real Time with Scylla
- >>>更多AdTech的用户案例
[编辑] 项目
[编辑] 文档
- Introducing Erlang to OpenX Erlang
- Real Time Bidding with Erlang
- Building a Fully Integrated Marketing Plan
[编辑] 厂商方案
[编辑] 图集
[编辑] 链接
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