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beeTV to Spend $8 Million on Personal TV Recommendation System
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by Truemorist | June 3, 2009 at 04:26 pm
396 views | 2 Recommendations | 1 comment
Just in case life is still too hard with Amazon telling you what to buy, Twitter telling you what to read, your GPS telling you where to drive, and iTunes telling you what to hear, soon, beeTV will be able to tell you what TV shows to watch.
Based in Milan, Italy, beeTV plans to put $8 million in funds towards the development of a "Personal Content Channel" (PCC), which recommends video and channels for you based on your personal profile and mood.
There will be three variations of the beeTV development line: beeSTBox, their flagship product designed for multiplatform distribution; beeWeb, for managing, customizing, and sharing online TV viewing; and a program designed for mobile devices, including an iPhone application currently in progress.
Personally, I've never needed help making a decision between American Idol and John and Kate Plus 8 (for the record: neither), but then again, who am I to question the powers-that-be at TechCrunch?
BeeTV is currently focusing on finalizing its 1.5 version and claims to be engaged with some of the leading TV providers in the world for trials that are expected to roll into their commercial phase by the end of 2009 and beginning of 2010. I wouldn’t be surprised if there was actually a lot of interest for this type of technology coming from content owners, publishers and media companies.This one looks like a winner, and that was even before I knew who is spearheading the algorithm team that’s responsible for the powerful recommendation technology behind the platform: Gavin Potter, an experimental psychologist formerly responsible for IBM’s Centre for Business Optimization in Europe, who you might know as “Just a Guy in a garage” from the Netflix Prize competition.
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at 09:35 on June 8th, 2009
I'm a 35 year veteran of advertising and media and I'm positively on fire about the convergence of cross-platform media and consumers hungry for new, innovative content. As an advertiser, what concerns me is the slow death and inaccuracy of current metrics which measure what media gets consumed, when it gets consumed and by whom. The old-school guesswork of Nielsen and other dinosaur analytics needs to be replaced by newer, more accurate methodologies. RawData uses audio fingerprinting technology to capture real-time audio feeds of content across virtually all platforms. beeTv and other aggregators need to imbed this technology so people in my industry can be certain we're getting an accurate picture of the consumer viewing patterns and eliminate the rediculous guess work of old-school metrics. Web analytics give us real data in real time, why can't we have that in all forms of media? Why in the world do we settle for aproximation when accuracy is available?