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rmiron2017-04-28 13:31:25
Android
rmiron, 2017-04-28 13:31:25

Restaurant app. How to recommend a dish?

I am writing an app for a restaurant. The bottom line is that it recommends dishes based on the preferences of customers. For example, a group of 4 people come, choose what they want - bread, chicken, rice, fried fish, vegetables, spaghetti. Further, based on the choice, the application offers several sets:
First set: fried chicken, rice with vegetables, spaghetti with vegetables, fried fish, herbs, bread.
Second set: chicken with rice, spaghetti carbonara, salad, fried fish, boiled rice, bread.
There will be several recommendations, and not for one person, but for the whole group of people.
The question is, do we need a special algorithm for recommending dishes here?
I think that the traditional recommender systems used on websites (SVD, Collaborative filtering, content-based, etc.) are not suitable.

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Alexander Ter, 2017-04-28
@alexsandr0000

You can try empirically based on statistics or through a neural network, and through the NN, it seems to me, is more preferable.

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