June 2020
Intermediate to advanced
382 pages
11h 39m
English
Content preview from 40 Algorithms Every Programmer Should Know
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Generating reference vectors of the users
Based on the history of each of the users of the system, we will produce a preference vector that captures those users' interests.
Let's assume that we want to generate recommendations for an online store named KentStreetOnline, which sells 100 unique items. KentStreetOnline is popular and has 1 million active subscribers. It is important to note that we need to generate only one similarity matrix with dimensions of 100 by 100. We also need to generate a preference vector for each of the users; this means that we need to generate 1 million preference vectors for each of the 1 million users.
Each entry of the performance vector represents a preference for an item. The value of the first row means ...
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