PUBLIC MARKS with tags flickr & del.icio.us

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)

Новости Политики

Several products have emerged in an effort to help users better manage and display all of their profiles in one place. This article will showcase these web profile aggregators more closely as we look to unify our online identities & stay updated

Get a FREE Web Site For Your Social Group Share photos, bookmarks, to-dos, blog entries, notes, souvenirs, locations... Stay in touch via SMS, email and online chat... No duplicate efforts! Synch with Y! Groups, Blogger, Del.icio.us, Flickr and others... Fully integrated with your mobile phone and desktop!

Tags have taken the internet by storm. Where once the question was “what are they,” now all people want to know is whether a given site offers them. But what are the actual benefits of tags? What motivates millions of Flickr, del.icio.us and blog users to add tags to their photos and posts? And what is it about tags and tagging that gets information architects and user experience professionals so excited?

Flickr and del.icio.us does software patent. Bouhh

Context-ize is a tagging experient that works with del.icio.us and flickr. Sometimes gets intereting results and but sometimes does not find any matches.

childeabaddon's blog

自分専用スタートページ

"Comment mettre quelqu’un qui cherche à comprendre le web 2.0 sur la bonne voie, en quelques grands principes."

巴巴变-Flickr的Copy

retrievr 站内内置Flash的画板, 用户可以粗略地在首页的画板上画出想找的对象的草图, 系统会帮用户从Flickr的图片库中搜索和发现类似的图片, 并显示在页面上.

Shozu将手机上的图片直接上传至你所选择的共享网站.