社交通讯插件大小: 10.07KiB版本: v 1.0更新时间: 2021-12-21
大小:10.07KiB版本:v 1.0更新时间:2021-12-21

This extension will help you submit new items to rankle.me

Rankle.me 的使用方法详解,最全面的教程

Rankle.me 描述:



扩展大小:10.07 KiB


版本:v 1.0

Rankle.me 插件简介:

这是来自Chrome商店的 Rankle.me 浏览器插件,您可以在当前页面下载它的最新版本安装文件,并安装在Chrome、Edge等浏览器上。





(2) 从设置->更多工具->扩展程序 打开扩展程序页面,或者地址栏输入 Chrome://extensions/ 按下回车打开扩展程序页面

(3) 打开扩展程序页面的“开发者模式”

(4) 将crx文件拖拽到扩展程序页面,



RANKLE - YOUR PERSONAL WEB. FIND COLLECT SHARE all about your interests! Discover and Search the Topics of your Interests visually, create your Bookmarks Collections, follow your Friends and likeminded People and share the Content you love. The Social Interest Graph The Rankle concept is based on the "Social Interest Graph" combining interest-based Content Recommendation with a Social factor, in the believe that you and your friends always share common interests. Your personal Access to the Web Rankle is designed to be your personal Access to the Web, receiving constantly new and inspiring Content matching your Interests, save your Favourites and exchange with your Friends about topics that really matters for you. Our Users are our Curators We strongly believe that a great Web Discovery Solution can only as good as the users are involved and can contribute. That's why our Ranking Algorithm is solely based on qualitative factor of the user interaction such as our 5 Star Ranking, Bookmarking and Sharing Signals to calculate a Content Rating. Rankle does not crawl the whole web. Instead of that, Rankle only takes into account Content users bookmark and therewith register in our index. Visual Surfing with Content Cards We also believe that Web Surfing has to be visual and not just textual. That's why we provide our Content Recommendations in Cards with either embedded Video and Audio Files or Screenshots of the related Sites with a one-click Link to the Site. You can play Video and Audio files directly in Rankle as well open directly the site of the content. Rankle is a Recommendation Engine and therefore we will guide you to the content of your interest and don't keep you captured on Rankle. Machine Learning System We also applied a Machine Learning Algorithm, wich constantly learns from the user interaction in order make even more precise Recommendations according to the users interests. No Sign-up Barriers While other systems first enforces the user the sign-up, we believe in the opposite way and don't force the users to sign-up, making it open to discover and search without a login. But for sure, we want to have a dedicated Community of users contribute to grow Rankle and helping to constantly improve the quality of the Content Recommendation and the whole Platform.


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