The Flickr interestingness rating is some kind of secret algorithms that dynamically calculate the absolute rating of photos on a website in a special way. To calculate the “interestingness” of a photo, various parameters are taken into account, quantitative (number of views and comments) and qualitative: from where users come to view a photo, who and when comments on a photo, who puts it into favorites, semantic tags for a given snapshot and many other parameters.
The algorithm for calculating the interestingness can be compared to the well-known Google PageRank algorithm for calculating the “importance” of a web page. The difference is that the interest of Flickr takes into account many internal factors specific to social networks. In other words, the Interesting Rating (IR) is a PR for social search engines of the new generation.
Nobody knows the exact formula for calculating IR, and the exact meaning of “interestingness” is not shown on the screen. We can only guess how the whole system works. It is only known that the IR algorithms
change periodically , just as the IR of each photo changes every day. A random collection of the most interesting photos on the Flickr website for the last seven days can be viewed
on one page .
The concept of interestingness was first implemented on Flickr
in August 2005 , along with
tag clustering technology. After some time, it became clear why this technology is so important. In fact, the Flickr interestingness rating is, no more or less, an
advanced recommendation engine for the collective mind , taking into account, moreover, the well-known
phenomenon of the “long tail” (long tail).
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Obviously, the importance of IR algorithms was also appreciated by Yahoo, which applied for two patents. These applications were filed on February 8, 2006, and published last week.
The first patent,
“Ranking of Media Objects by Interesting Interest,” reports that an interest rating can be calculated individually for each individual user. The second patent is called
Media Object Metadata Associations and Rankings . It explains what metadata can be used for ranking (tags, comments, annotations, adding to favorites). A small text analysis of patents can be found
here .
It should be added that some experts call Yahoo
ridiculous attempts to patent social ranking algorithms, because these algorithms are already being used in one form or another on many Web 2.0 sites.