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#PMChallenge - ML based recent apps suggestions based on time and location in app drawer.

  1. G_Kishore_Kumar_Llyk Cupcake Feb 19, 2019

    G_Kishore_Kumar_Llyk, Feb 19, 2019 :
    Currently the app suggestions shown on top of the app drawer are based on the most used apps or most opened apps. It would be really useful if we can learn the users pattern of opening apps based on time/location.
    Many users use specific apps at specific point of time. For example, lots of users use food ordering app either in the morning or in the afternoon and it also depends on the location where they are. Lots of users watch Netflix/Youtube after work hours. So how about showing suggestions on top of the menu based on the patterns of when (time) and where (location) users open or use the app.

    How I see this product/feature?
    This feature enables better user experience for all of the users out there. And it also reduces the time of scrolling through the launcher at times when needed.

    Who are the users?
    Almost all users who routinely uses their useful apps.

    What is the proposed function?
    Create a ML model with time, location(optional) as features and train the model with the features and the app which is opened based on the features and predict the suggestions appropriately.

    What is the user value?
    This will create a better UX experience for the users and it will also be really helpful for the users to find the app at needy times.

    If there are existing comparable functions in the smartphone industry, how is your proposed feature superior?
    There are many launchers which suggest app based on recent or most opened apps, but this feature will consider the time and location and hence it stands out as an unique from the competition.

    Please find the attached image for reference.
     

    Attached Files:


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