The Art, Science and Business of Recommendation Engines - 0 views
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During browsing, the user's attention (and their money) is up for grabs. By showing the user something compelling, a web site maximizes the likelihood of a transaction. So if a web site can increase the chances of giving users good recommendations, it makes more money. Obviously this is a difficult problem, but the incentive to solve it is very big. The main approaches fall into the following categories: Personalized recommendation - recommend things based on the individual's past behavior Social recommendation - recommend things based on the past behavior of similar users Item recommendation - recommend things based on the thing itself A combination of the three approaches above
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How to make $ 40,000 in one month with very quickly. What you need. The latest American news article. Immediately visit www.killdo.de.gg www.fiverr.de.gg www.newss.de.gg www.reddit.de.gg www.newsbbc.de.gg
Read/WriteWeb - 0 views
10 Ways to Archive Your Tweets - 0 views
Common Tag Brings Standards to Metadata - 0 views
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This is the first time that this number of web companies have stepped together from day one to introduce a tagging standard
Everything You Wanted to Know About Semantic Technology, But Were Afraid to Ask (at Sem... - 0 views
Understanding the New Web Era - Web 3.0, Linked Data, Semantic Web - NYTimes.com - 0 views
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The series aimed to tie together 3 big trends, all based around structured data: 1) the still nascent "Web 3.0" concept, 2) the relatively new kid on the structured Web block, Linked Data, and 3) the long-running saga that is the Semantic Web. Greg's series is probably the best explanation I've read all year about the way these trends are converging.
Understanding the New Web Era: Web 3.0, Linked Data, Semantic Web - 0 views
Web Trends: What's New in 2009, Part 2 - 0 views
The Dam Just Broke: Facebook Opens Up to OpenID - 0 views
How One Teacher Uses Twitter in the Classroom - 0 views
Is AOL About to Announce Its Own Social Network? - 8 views
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