Chapter 3. Recommending relevant content
This chapter covers
- Understanding recommendation engines based on users, items, and content
- Finding recommendations about friends, articles, and news stories
- Creating recommendations for sites similar to Netflix
In today’s world, we’re overwhelmed with choices, with a plethora of options available for nearly every aspect of our lives. We need to make decisions 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. In addition, we’re constantly being bombarded by information—and occasionally misinformation! Under these conditions, the ability to recommend a choice is valuable, ...
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