A common trend that can be observed in brick and mortar stores, is that we have salespeople guiding and recommending us relevant products while shopping on the other hand, with 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 they don’t like to invest a lot of time going through the entire catalogue of items. Hence, the role of Recommender Systems (RS) becomes critical for recommending relevant items and driving ...
© Pramod Singh 2019
Pramod SinghMachine Learning with PySpark https://doi.org/10.1007/978-1-4842-4131-8_77. Recommender Systems
Pramod Singh1
(1)
Bangalore, Karnataka, India
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