An Interest In:
Web News this Week
- March 28, 2024
- March 27, 2024
- March 26, 2024
- March 25, 2024
- March 24, 2024
- March 23, 2024
- March 22, 2024
Some of Our Sources
- Slashdot
- BoingBoing
- Team Treehouse
- Smashing Magazine
- You The Designer
- Creative Curio
- FanExtra - PSD
- Design Modo
- Web Resource Source
- Dev To
Help Webnuz
Referal links:
July 7, 2012 09:24 am GMT
With so much information, content and so many services now living online, there's a lot of choice -- even for something as simple as where to go to buy a new pair of socks. Oh, and there's a lot of data. As it's evolved and gotten better at making sense of its new Big Data, the Web has become an extraordinary engine for discovering new stuff: News, cat videos, porn, you name it. Naturally, scores of sites are becoming (or are building) recommendation engines to help users wade through the noise, and, dining on Big Data, they get smarter every day. However, as it stands today, the discovery process is pretty fragmented, as recommendation engines tend to be domain-specific. Want to find a good movie? Try Netflix. Want to find a good book? Go to GoodReads, etc. And this fragmentation makes for a crappy user experience. So, frustrated with the fact that there's no one-stop shop for great recommendations on, well, everything, a couple of seniors at MIT have developed, and quietly launched, Tipflare to be that general solution.
Original Link: http://feedproxy.google.com/~r/Techcrunch/~3/oB8HsGta2oI/
Tipflare: Two MIT Seniors Build A One-Stop Shop For Recommendations On Anything
With so much information, content and so many services now living online, there's a lot of choice -- even for something as simple as where to go to buy a new pair of socks. Oh, and there's a lot of data. As it's evolved and gotten better at making sense of its new Big Data, the Web has become an extraordinary engine for discovering new stuff: News, cat videos, porn, you name it. Naturally, scores of sites are becoming (or are building) recommendation engines to help users wade through the noise, and, dining on Big Data, they get smarter every day. However, as it stands today, the discovery process is pretty fragmented, as recommendation engines tend to be domain-specific. Want to find a good movie? Try Netflix. Want to find a good book? Go to GoodReads, etc. And this fragmentation makes for a crappy user experience. So, frustrated with the fact that there's no one-stop shop for great recommendations on, well, everything, a couple of seniors at MIT have developed, and quietly launched, Tipflare to be that general solution. Original Link: http://feedproxy.google.com/~r/Techcrunch/~3/oB8HsGta2oI/
Share this article:
Tweet
View Full Article
Techcrunch
TechCrunch is a leading technology blog, dedicated to obsessively profiling startups, reviewing new Internet products, and breaking tech news.More About this Source Visit Techcrunch