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)
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]]>The following Websites are the Top 30 of Potentialpark's 'Top Employer Web Benchmark' ranking and have been awarded "Top Career Website 2008". The Top Employer Web Benchmark 2008 monitors the development of corporate career websites and online employer branding and how they help building the employer brand and to make the recruiting process more effective. All ranking results are based on the preferences and priorities of student job seekers.
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]]>trendalicious is a real-time ranking of the 100 most popular web pages as reflected by del.icio.us, digg, and reddit. URLs posted to those sites are collected and ranked by their total number of votes or links.
Vidmeter gathers data from across the web to provide an accurate representation of the most popular online videos. While it is impossible to tell the exact number of views a given video has received from every website and every download, Vidmeter gathers the reported view count from a large cross-section of web-based video sites, giving a very close indicator to the relative popularity of a video. Vidmeter gathers this data like so: First, Vidmeter's software automatically records the numbered of views and comments from the top listed videos on Addicting Clips, Atom Films, Break.com, Brightcove, Daily Motion, Google, Grouper, iFilm, Metacafe, Myspace, Revver, Veoh, vSocial, Yahoo, and Youtube once per hour. Second, Vidmeter editors "merge" similar videos on multiple websites. This allows Vidmeter to count the views of a video on all websites as a single video, giving a more accurate ranking of a video's popularity and not just a URL's popularity. Third, Vidmeter automatically ranks videos for the day by counting the difference between that day's view total and the previous day's view total. The most viewed videos are the most popular and ranked highest. For videos that are new (that do not have a previously recorded view count), the first view count is listed under "before" as we cannot necessarily tell on which day those views occurred. On some days videos will show a negative comment number, this is because some networks allow users to delete comments and thus lower the total comment count. Fourth, the latest view and comment counts are set as the "all time" counts for the videos and they are ranked accordingly. Vidmeter's resulting list of video provides a great tool for industry watchers to track trends in online videos, for marketers to see what's hot, for makers and advertisers to track their video's popularity, and for eager video watchers to get their fill of the most poplar entertainment online.
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