- 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
This article explores the recommendation engines of Amazon, Pandora and del.icio.us. Amazon.com, the leader in the space, has a very compelling personalization offering. But recent approaches to recommendation engines, like the genetics-inspired Pandora and social tagging pioneered by del.icio.us, are promising."
We need to make sure sites that lots of women read know about this!"
"Cobol remains the most widely deployed programming language in big business, accounting for 75% of all computer transactions — and it is not going to go away. Cobol is pervasive in the financial sector (accounting for 90% of all financial transactions), in defence, as well as within established manufacturing and insurance sectors. We estimate that there are over 200 billion lines of Cobol in production today, and this number continues to grow by between three and five percent a year."
Gary Barnett, Research Director OVUM
So, for all the time spent arguing the merits of Ruby vs. C# vs. today's MFTL, should the community spend more time building tools to make COBOL livable? Or should we institute a digital spay/neuter programme and do something about that alleged 3-5% growth?"