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Description
RankFM has user and item features, and that is great. However, I have a use case with features that cannot be put into this nice form. Specifically, I have some user-item pairs that occur multiple times in my data set. For example, a user might purchase the same product on different days, or purchase multiple products. It does not appear that this use case can be handled by the current API. On the other hand, the algorithm found in the function compute_ui_utility
should be able to handle this case with some modification. Until this morning, I was under the impression that each row of the user-product array had a series of features.
So my question is: can I modify the library to handle the use case where I have N features per row without requiring features at the user and item levels?
I hope I was clear. Thank you for any advice.