Lowe’s Interview Questions | Playlist

Question

Can you choose a strategy for increasing the number of songs listened by the user on an online application? How will you decide the types of playlists to suggest him?

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Dhruv2301 4 years 1 Answer 1143 views Great Grand Master 0

Answer ( 1 )

  1. Ognish
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    Mainly I will tackle this problem like any recommendation engine.

    Machine learning algorithms in recommender systems are typically classified under two main categories —

    1.  content-based – strategy relies on analyzing factors and demographics that are directly associated with the user or product, such as the age, sex and demographic of the user or a song genre or playlist,

    2. collaborative filtering – Collaborative Filtering takes consumer behavior data and utilizes it to predict future behavior This consumer behavior leaves a trail of data, generated through implicit and explicit feedback, based on the user’s listening history, in tandem with songs enjoyed by users who seem to have a similar history

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