In brick-and-mortar stores, we have salespeople guiding and recommending us the relevant products while shopping. On the other hand, on online retail platforms, there are zillions of different products available, and we have to navigate ourselves to find the right product. The situation is that users have too many options and choices available, yet don’t like to invest a lot of time going through the entire catalogue of items. Hence, the role of recommender systems (RSs) becomes critical for recommending relevant ...
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
P. SinghMachine Learning with PySparkhttps://doi.org/10.1007/978-1-4842-7777-5_88. Recommender Systems
Pramod Singh1
(1)
Bangalore, Karnataka, India
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