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PUBLIC MARKS from decembre with tags dev & user

2014

PIN - Pinterest - WordPress › jQuery Pin It Button For Images « WordPress Plugins

(via)
If you're looking for an easy way to pin images in your blog posts and pages, this plugin will help you with that. It highlights images and adds a "Pin it" button over them once the user hovers his mouse over an image. Once the user clicks the "Pin it" button, the plugin shows a pop-up window with the image and a description. Everything is ready for pinning, although the user can alter the description

2013

CSS - USERSTYLES - Code for various Firefox elements? - forum.userstyles.org

You can inspect the Firefox user interface directly with DOM Inspector. (Which is not the same Inspector as in the Web Developer menu.) [addons.mozilla.org] https://addons.mozilla.org/en-US/firefox/addon/dom-inspector-6622/Click the icon in the upper-left corner of DOMi, the one with a pointer on it, then click anywhere in the browser to select an element; that element will be highlighted in the left column. Right-click the highlighted entry to display a context menu: "Copy Selector" suggests selectors for the element, "Set Pseudo-classes..." lets you switch on :hover. Notice that the browser itself is a document with its own URI, chrome://browser/content/browser.xul, Most of the browser chrome is XUL, but some, such as the Stylish editor, is HTML embedded in XUL. https://developer.mozilla.org/en-US/docs/XUL

2009

SML Wiki: Interestingness(note: work in progress)

Interestingness is a media (images, videos, etc) ranking algorithm to provide as an additional metric for search results. The algorithm is based upon an algorithm created by the Flickr team, and is further enhanced by metadata knowledge resulted from the Del.icio.us development. The algorithm was first unveiled publicly on Flickr on 2005-08-01.1 SML.SML: Interestingness = f(views, faves, comments, tags, time, user, network relationships); The ranking is based on one or more of the following factors: * the quantity of user-entered metadata2 (i.e. tags) * the number of users who have assigned metadata3 * the number of favorites assigned to the photo4 * relationship between the person who uploaded the photo and the people who are commenting5 * access patterns related to the media object6 (i.e. where the clickthroughs are coming from; who comments on it and when)7 * a lapse of time related to the media object8 (i.e. velocity of metadata acquisition)