AOL released their user’s search data over a period of 3 months (01 March to 31 May 2006) [via SEO Portal (thanks for the tip off!)]
Tech Crunch called this release a screw up and staggering utter stupidity.
The original intention of the data was to be for the purpose of personalization, query reformulation and search research.
However the amount of personal information that can be gathered from the data is staggering. As some have discovered.
The compress archive is 439Mb and expands to more than 2Gb.
Summary:
- 36,389,567 lines of data
- 21,011,340 instances of new queries (w/ or w/o click-through)
- 7,887,022 requests for “next page” of results
- 19,442,629 user click-through events
- 16,946,938 queries w/o user click-through
- 10,154,742 unique (normalized) queries
- 657,426 unique user ID’s
Imagine the kind of analysis and data mining can one do on this data!
On a related note, what tools can one use to analyse such data?
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