If you haven’t already done so, check out David Henderson’s recent post on Attention Mashups. He points to All Crazy Style, a mashup that integrates last.fm usage data with Upcoming.org listings to discover information on local band performances matching a user’s tastes.
This is great stuff.
Properly leveraged attention streams can be incredibly powerful. Google and Amazon are great examples of companies that utilize attention data with significant economic success. Mashups like All Crazy Style allow users to more directly benefit from their attention streams in the form of recommendations and other personalization features.
One of my favorite types of attention mashups is the auto-tagger. These do exactly what you might expect — categorize content automatically, using attention stream data to improve tagging accuracy. Tagging is extremely popular in web 2.0 and media applications, but users don’t seem to like entering tags manually. A recent post on BijanBlog discusses the need for good auto-tagging solutions, mentioning attempts like Riya to solve the problem:
“Riya tried to do photo autotagging but they wanted to replace stuff that we all use already with a new service. That’s really hard.”
I totally agree with this point. The most successful solutions will incorporate themselves into a user’s existing habits and browsing activity, not force the usage of a distinct service.pills online usadiscount code 5%:_879981pharmacy online usa