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NicolasHug / Surprise

A Python scikit for building and analyzing recommender systems
http://surpriselib.com
BSD 3-Clause "New" or "Revised" License
6.28k stars 1k forks source link

question - surprise for implicit rating data? #452

Closed SSMK-wq closed 1 year ago

SSMK-wq commented 1 year ago

Thanks for this wonderful package and I have been reading lot of tutorials online on how to use this package.

However, I see that all tutorials use the same movielens dataset which has explicit rating/feedback column.

However, in my dataset we don't have any rating column.

Instead, we only have the list of products that users bought and we would like to recommend products to them based on other similar users.

Is it possible to use surprise package for a dataset which doesn't have explicit rating column?

How do we build recommendation system to suggest products based on buying pattern of other similar users? (without any rating column)?

SSMK-wq commented 1 year ago

I am closing this as I found out that this package cannot be used for data with no rating scenarios. So, closing the issue