Nice integration with the handheld.
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From the category archives:
Mashups
Any company that provides better ROI for media buys will certainly garner some attention these days. Peerset’s approach makes a lot of sense as another way of targeting users. The company pulls streams, profiles and other clusters of data together and applies its "targeting algorithm" to render relevant matches.
"Peerset scrapes data from millions of sites, profiles and status messages and compiles a series of word clusters. While seemingly unrelated, Grey’s Anatomy, John Mayer and Starbucks coffee are clustered together simply because a large number of users have expressed interest in all three topics."
The time it would take to pull together this type of data would seem to easily justify the expenditure. You could hire an analytics or media services firm to try and aggregate this type of data but in the end you still have to make sense of it — which brings you back to algorithms, metadata and other analytical tools. That’s a big reason I like Peerset’s approach.
via readwriteweb.com
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Erik Schonfeld writes about the information overload challenge, showing the overblown, Tweet-filled desktop of Seesmic founder Loic Le Meur.
While Twitter presents new challenges staying dialed in to the stream, it still does a helluva job vetting news and information once you get your network in place. It’s that last part {discovery} that poses the biggest challenge. Why else would you have to create 20 columns to scrape enough information together to get a few key morsels?
I think that’s why you’re seeing Twitter and other ecosystem partners focusing on search and curation. Once that starts to improve, I think you’ll see higher value networks start to bloom — and in much shorter time frames. We can then leave the "20-column" configurations in the rear-view mirror.
“It’s 18 months later and the problem hasn’t been solved. The screenshot I took back then still resonates because the noise is worse than ever. Indeed, it is being magnified every day as more people pile onto Twitter and Facebook and new apps yet to crest like Google Wave. The data stream is growing stronger, but so too is the danger of drowning in all that information."
via techcrunch.com
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