Flickr Analytics

Update: Because of newly discovered US Patent Filing of the Interestingness algorithm, attention has been shifted towards the analysis of this algorithm.

Objective

Analyze the Flickr Interestingness algorithm.

Methodology

Tagging and grouping top 20 images from the Popular-Views, Popular-Favorites and Popular-Comments pages on Flickr.
Compare results with images from the various sets via AND / OR operators.

http://blog.seeminglee.com/2007/08/flickr-analytics-sml-analytics.html

fold

Table of Contents

Screenshot

Preliminary Analysis

Top Views = What drives users to click

Top Favorites = What drives users to buy

Top Interesting = Winning formula for market success

Most Interesting Coney Island Mermaid Parade 2007

Most Interesting Gay Men

Most Interesting IconNichoslon

Most Interesting Images

Most Interesting People

Backlinks

Social Bookmarking

Screenshot

Preliminary Analysis

Top Views = What drives users to click

Can not fetch photoset data - photoset might not exist or not be public (or other problem).

Related tags:

Top Favorites = What drives users to buy

Can not fetch photoset data - photoset might not exist or not be public (or other problem).

Related Tags:

Top Interesting = Winning formula for market success

All three galleries combined give you the winning ingredients for market success for any advertising campaigns. These sets, as such, double-duty as quick-visual reference for your next photoshoot.

If analyzing my own photographs give me this conclusion, I can only imagine the entire collection of images hosted on Flickr can provide.

I hypothesize that Yahoo is using these data to train an AI (artifical intelligence) algorithm to detect images. And if they aren't, I think that they should. Google literally dominates the text-ad market by indexing every single bit of text available to them, it would be smart for Yahoo to pick a different market segment and become the expert in it.