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Outbrain

Outbrain:基于内容发现和推荐引擎是一家帮助CNN和今日美国等出版商想读者提供广告的创业公司Outbrain的业务模式是向出版商提供软件这些软件能向读者发出有关跟进报道的推荐

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Outbrain

Outbrain简介

  Outbrain:基于内容发现和推荐引擎是一家帮助CNN和今日美国等出版商想读者提供广告的创业公司,Outbrain的业务模式是向出版商提供软件,这些软件能向读者发出有关跟进报道的推荐,从而帮助出版商把读者留在自己的网站上。

  Outbrain总部位于纽约,由联合创始人兼首席执行官亚伦·加莱(YaronGalai)负责运营,他是一位长期从事广告技术行业的资深人士,创办Outbrain的目的是为博客主和新闻网站提供了一个插件,装上该插件后,每篇博客文章和新闻的最后将出现一个评分界面,读者可以对文章内容进行评分。与此同时,读者也将看到一些个性化的推荐其阅读的内容。会在其推荐的报道中加入广告,以此作为盈利渠道,并与出版商进行收入分成。

  Outbrain的目标是利用插件,创建一个跨博客和跨网站的推荐系统。目前,该系统的运作方式主要是利用用户的协作,然后根据算法生成一些推荐内容,并会在文章的后面提示:“你也许也喜欢”,然后列出一些文章。与国内的无觅网站插件类似。

  Outbrain有一个特点,那就是使用非常方便,无需注册,用户就可以对文章进行评分。所有的评分都是匿名的,而且数据保存在用户端的cookies中。用户每进行一次评分,我们的系统就会进行一次计算,得出每一个用户与其他用户的相似度和兴趣重合度。此后,在向你推荐内容的时候,与你的相似度比较大的用户推荐的内容的比重就会更大。因此,你评分的次数越多,我们的推荐就越精准,不过,前提是你的评分是真实的。

  这种方式和“相关文章”插件是不同的,因为“相关文章”插件的推荐依据是文章的内容。这种方式太过于粗暴专断,推荐的东西基本就是以偏概全,内容基本一样。我们认为,这种方式明显是不合适的。因此,在别人在做内容相似的推荐的时候,我们做的是与你的喜好相关而不是与内容相关的推荐。

  Outbrain更加强调用户的参与度,用户的参与度越高,推荐的精确度也越高。同时,由于有了用户的参与,Outbrain的推荐也就更加的个性化,这也是其与基于内容的“相关文章”插件的巨大差别。

Outbrain: the content-based Discovery and recommendation engine is a startup that helps publishers such as CNN and USA Today provide advertising to readers. Outbrain's business model is to provide software to publishers that can recommend follow-up reports to readers, thereby helping publishers keep readers on their websites.

Outbrain is based in New York and is run by co-founder and CEO Aaron & middot; Calais (YaronGalai), a longtime advertising technology veteran who founded Outbrain to provide a plug-in for bloggers and news sites. With the plug-in, there will be a rating interface at the end of each blog post and news article, where readers can rate the content. At the same time, readers will also see some personalized recommendations for their reading. Advertisements will be added to its recommended reports as a way to make a profit and share the revenue with publishers.

The goal of Outbrain is to use plug-ins to create a recommendation system across blogs and websites. At present, the system mainly uses the collaboration of users, and then generates some recommended content according to the algorithm, and will prompt at the back of the article: "you may also like it," and then list some articles. It is similar to the plug-in of no-find website in China.

One feature of Outbrain is that it is very easy to use and users can grade articles without registering. All scores are anonymous and the data is stored in the client's cookies. Every time a user makes a score, our system will do a calculation to get the similarity and interest coincidence between each user and other users. Since then, when recommending content to you, there will be a greater proportion of content recommended by users who are similar to you. Therefore, the more times you grade, the more accurate our recommendation will be, but only if your score is true.

This approach is different from the related articles plug-in, because the recommendation of the related articles plug-in is based on the content of the article. This way is too rough and arbitrary, the recommended things are basically partial generalization, the content is basically the same. In our opinion, this approach is obviously inappropriate. Therefore, when others are making recommendations with similar content, we are making recommendations that are related to your preferences rather than to the content.

Outbrain puts more emphasis on user participation, and the higher the user participation, the higher the accuracy of the recommendation. At the same time, due to the participation of users, the recommendation of Outbrain is more personalized, which is a big difference from the content-based "related article" plug-in.

Outbrain是家帮助CNN和今日美国等提供广告的创业公司,系统的运作方式主要是利用用户的协作,然后根据算法生成一些推荐内容。

better late than never.

只要开始,虽晚不迟

请记住Ctrl+D收藏《Outbrain》入口

Outbrain的评价如何

人间忽晚,山河已秋。---《人间忽晚》

秀色掩今古,荷花羞玉颜。--- 李白《西施 / 咏苎萝山》

【腾讯云】多款云产品1折起,买云服务器送免费机器,最长免费续3个月

Outbrain最新网站截图

最新网站截图

数据评估

Outbrain浏览人数已经达到60,如你需要查询该站的相关权重信息,可以点击"爱站数据""Chinaz数据"进入;以目前的网站数据参考,更多网站价值评估因素如:Outbrain的访问速度、搜索引擎收录以及索引量、用户体验等;当然要评估一个站的价值,最主要还是需要根据您自身的需求以及需要,一些确切的数据则需要找Outbrain的站长进行洽谈提供。如该站的IP、PV、跳出率等!

关于Outbrain特别声明

本站ColaBug提供的Outbrain都来源于网络,不保证外部链接的准确性和完整性,同时,对于该外部链接的指向,不由ColaBug实际控制,本站收录时,该网页上的内容,都属于合规合法,后期网页的内容如出现违规,可以直接联系网站管理员进行删除,ColaBug不承担任何责任。

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