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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
6.34k stars 1.01k forks source link

Is this only working with ml-100k? And if I want to use manipulated ml-100k dataset, how? #386

Closed Rowing0914 closed 3 years ago

tomfbush commented 3 years ago

You can read in custom datasets according to https://surprise.readthedocs.io/en/stable/getting_started.html#use-a-custom-dataset.

This requires the use of the Reader class: https://surprise.readthedocs.io/en/stable/reader.html#surprise.reader.Reader

The fields in no particular order are user ; item ; rating ; [timestamp] -- you can set the order, along with the separator used.

If by "manipulated" you mean "with additional features" you may be out of luck.

Does that help?

tomfbush commented 3 years ago

To confirm, from the homepage:

"Please note that surprise does not support implicit ratings or content-based information"

Rowing0914 commented 3 years ago

You can read in custom datasets according to https://surprise.readthedocs.io/en/stable/getting_started.html#use-a-custom-dataset.

This requires the use of the Reader class: https://surprise.readthedocs.io/en/stable/reader.html#surprise.reader.Reader

The fields in no particular order are user ; item ; rating ; [timestamp] -- you can set the order, along with the separator used.

If by "manipulated" you mean "with additional features" you may be out of luck.

Does that help?

Thank you for your help!! I will look into those materials that you shared!!