ReadWriteWeb

From shopping to music, the overload of information on the Web has been shaped and ordered by recommendation engines. There are even tools like the browser extension GetGlue that purport to sail the entire recommendations ocean. But one very important aspect of the online experience has been overshadowed: video. Milan- and Tel Aviv-based Bee.tv, currently in beta, has introduced a proprietary, cross-platform recommendation service to personalize television, film and video viewing. Bee.tv aspires to do for video what Pandora or Last.fm do for audio.

"Bee.tv employs a proprietary algorithm that includes contextual and semantic analysis, collaborative filtering, and thematic push to deliver personalized TV, movie and video content recommendations."

If you like Electronic Music, you might like Musique Concrète. If you like Cartography, you might like Map Projection. Into Head-mounted displays? Check out Organic light-emitting diodes! These are a few of the recommendations I've received this week from semantic, social recommendation service Get Glue and I'm pretty excited about it.

Bloggers, muckrakers and news fanatics, lend me your ears. It's entirely possible that we've discovered one of the best approaches to media monitoring since RSS itself. My mother always said, "You'll never get what you want unless you ask." But with adaptive feed application Parse.ly, that simply isn't true. Rather than forcing us to abandon our overflowing feed readers, Parse.ly records our preferences and learns to work with us.

After years of struggling to beat Netflix's Cinematch recommendation algorithm by a baseline of 10%, two groups have emerged. While both teams produced qualifying systems, BellKor's Pragmatic Chaos submitted their entry 24 minutes earlier than 2nd prize team The Ensemble. Earlier this year ReadWriteWeb covered the Netflix Prize and asked the question, "Will the $1 million dollars be won in 2009?" While the answer is a resounding "yes", it was not January forerunner BellKor that took the prize, but rather an amalgamation of 4 teams that triumphed.

Imagine a random web.

Your favorite current affairs news blog, which couldn't survive on Viagra ads, is now charging subscriptions. Your e-tail site of choice keeps recommending country music, which you outgrew years ago. And your default social network's constant entreaties for donations finally annoy you so much that you do the unthinkable: switch to MySpace (at least it is supported by News Corp's old-media money).

This is too much. So, you pick up a copy of Portfolio magazine and browse the ads for financial products, reassured that at least this medium knows how to target its audience.

Leeks, celery, carrots, cannellini beans and some herbs. Epicurious says put all that together and you'll have an excellent vegetarian cassoulet. User comments strongly suggest using vegetable stock instead of water. But what about the wine?

Two year old wine social network Snooth announced today that it is now powering wine recommendations for the 25,000 editor tested recipes on Conde Nast's food site Epicurious. Snooth says this is just the first of a number of big sites that its custom algorithm will power recommendations on. That cassoulet? Snooth suggests you serve a Montevina Terra d'Oro Syrah 2002 ($15) with it. Nice.

In October 2006 online movie rental company Netflix announced a contest called The Netflix Prize; any team that could beat its in-house recommendation engine by 10% in predicting which movies people would like would win a $1 million prize. It was a huge engineering challenge that more than 50,000 teams of computer scientists signed up to take. Today one team, a combination of four of the front running teams actually, announced that it has built a system that delivers a 10.05% improvement.

If that team withstands the month long period of scrutiny that begins now, it will not only mean fame and (some) fortune for them and a big boost for Netflix - it could signal a key turning point for recommendation technology on the web.

Want a geeky way to chill out after a long work day of focus, focus, focus? There are few better ways online to keep the synapses lubricated than through the semi-serendipity of social sharing service StumbleUpon.

Now you can Stumble outside of the shadow of the mega-corporate overlords at eBay - two years after Stumble founders Garrett Camp and Geoff Smith cashed out and handed their baby over to the ecommerce giant, they've come back with a team of investors and bought StumbleUpon back from eBay. It's pretty exciting.

eBay founder Pierre Omidyar has joined the executive team of a stealthy new startup called Ginx, according to financial filings unearthed by PEHub. Very little is known about the company but based on passing whispers from early testers of the private data we have have some guesses about what the service does.

Ginx appears to be a people and news recommendation service built out of a Twitter publishing tool and a URL shortener. We think that sounds great, those lightweight technologies hold huge stores of valuable data. The company has raised about $2 million in funding so it's the real deal, not a fly by night operation. Check out a screenshot below and our full coverage of Omidyar's new gig over on Jobwire, our blog covering new hires in tech and new media.