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How you can use social machinery to power personalized news delivery | Poynter.
People have spent the past five years in Social Networking 101. We figured out what social networks are, created our profiles and connected with friends. We rethought fundamental aspects of human relationships and adopted new ways of informing ourselves (“If the news is that important, it will find me .”) We learned new ways to stage revolutions and to follow them from afar. In the process of adding friends, following people and retweeting things, we have created a mosaic of what we like, which can be used to train Web services.
New York Times to add active personalization of article recommendations | Poynter.
The New York Times’ 6-month-old recommendations feature , which uses an algorithm to suggest stories readers might like, is “really exceeding our expectations in terms of usage and clickthroughs,” says Marc Frons, Times chief technology officer for digital operations. Improvements are in the works for the recommendations engine, which looks at what users have read on NYTimes.com and suggests other stories. (TimesPeople, which uses recommendations from other people, is also getting a big overhaul .) Why is it popular?
If you’ve flitted across the Yahoo home page recently, you know how addictive its Today module can be. That’s the little box at the top of the page (as in the image above) containing four news stories, including at least one you usually can’t help but click on. And Yahoo says that’s entirely intentional, the result of a lot of hard work spent trying to figure out how to serve up news that you, yes you, will find irresistible. The company started work on a powerful personalization algorithm four years ago. Now it’s paying dividends. The system generates 45,000 totally unique versions of the Today module every five minutes .
Brains And Bots Deep Inside Yahoo's CORE Grab A Billion Clicks | Fast Company
Cognitive Surplus: The Great Spare-Time Revolution | Magazine
Clay Shirky and Daniel Pink have led eerily parallel lives. Both grew up in Midwest university towns in the 1970s, where they spent their formative years watching television after school and at night. Both later went to Yale (a BA in painting for Shirky, a law degree for Pink). And both eventually abandoned their chosen fields to write about technology, business, and society.
The strategic acquisition blends Red Bee Media’s rich metadata services with TV Genius’ content discovery technology to bring a synchronised viewer experience across live and on demand TV with accurate search, personally relevant recommendations and enhanced TV guides across multiple platforms and devices.
An Integrated Approach to TV and VoD Recommendations | TV Genius
One of my New Year’s resolutions is to reduce distractions. It’s about curating your network but allowing time for strategic serendipity. I’ll be writing about that topic in the weeks and months to come. I’ve discovered some wonderful discussion threads about one of my favorite topics: Information Overload and Strategies for Coping . As George Siemens points out the issue of information overload is not new. His definition of the problem is that it gets in the way of sustained mindfulness in order to get something meaningful done.
