Design a system for real-time recommendation engine.

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Anonymous · Accepted Answer

Recommendation engines involve a data bank where the recommendations are
initially hosted, and can then utilized as data for training for a ML model to
shape more appropriate recommendations. Additionally an accessible input
mechanism is needed for user input for recommendations to be provided for the
user. User input can be provided by text input, filtered responses, or
question/answer prompts. To design the solution, first a series of models to
mimic the intended workflow and a captured set of requirements are necessary to
shape the solution. Acceptance criteria and descriptions for successful
validation are also necessary to capture the design. After peer review of the
materials, a layered testing approach can be taken utilizing previous assets for
regression testing and expedited execution, while focus on new development can
be prioritized to meet schedules.

Design a system for real-time recommendation engine.

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