Recommendation engines: A key personalization feature of modern web applications

Meeting time: Thu, Jun 11 at 6:00pm

Meeting Location: Oracle
45 Network Way, Burlington, Ma

Overview:

In today's world, we're overwhelmed with choices; a plethora of options are available for nearly every aspect of our lives. We need to make choices on a daily basis: from automobiles to home theatre systems; from finding Mr. or Ms. "Perfect" to selecting attorneys or accountants; from books and newspapers to wikis and blogs; from movies to songs, and so on.

Can we provide the users of our applications with suggestions about all these choices that they have to make? The brief answer is a resounding yes! The key element that provides suggestions, in any application, is generically called a recommendation engine.

The talk will cover both collaborative filtering and content-based recommendation engines. I will explain what they are and how to use them. The talk will begin by describing the problem of recommending songs in an online music store. Once we cover all the basic concepts in our online music store, we'll make things a lot more interesting by presenting more complicated cases.

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