July 2018
Beginner to intermediate
146 pages
3h 39m
English
Content preview from Hands-On Recommendation Systems with Python
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Knowledge-based recommenders
Knowledge-based recommenders are used for items that are very rarely bought. It is simply impossible to recommend such items based on past purchasing activity or by building a user profile. Take real estate, for instance. Real estate is usually a once-in-a-lifetime purchase for a family. It is not possible to have a history of real estate purchases for existing users to leverage into a collaborative filter, nor is it always feasible to ask a user their real estate purchase history.
In such cases, you build a system that asks for certain specifics and preferences and then provides recommendations that satisfy those ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.