July 2018
Beginner to intermediate
146 pages
3h 39m
English
Content preview from Hands-On Recommendation Systems with Python
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Item-based filtering
If a group of people have rated two items similarly, then the two items must be similar. Therefore, if a person likes one particular item, they're likely to be interested in the other item too. This is the principle on which item-based filtering works. Again, Amazon makes good use of this model by recommending products to you based on your browsing and purchase history, as shown in the following screenshot:
Item-based filters, therefore, recommend items based on the past ratings of users. For example, imagine that Alice, Bob, and Eve have all given War and Peace and The Picture of Dorian Gray a rating of excellent. Now, ...
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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.