Hi,
Before going more in detail into the implementation of Elliot, I would like to know whether Elliot will be the right package for my experiments.
Basically, I am interested in context-aware recommender system (CARS) algorithms i.e., FM, FFM.
When looking here I found some CARS algorithms but I don't see in the parameter how to add the side information (either user auxilliary information or item auxilliary information). (1) Would that mean that I only need to mention the extra side information in the YAML file only? Or does it mean that there are only specific algorithms implemented in Elliot that do take into account side information? If so could you list them please?
(2) Do you have somewhere an example of code running CARS algorithm and is it possible to reproduce your results?
Thank you in advance.
Looking forward to hearing back from you.
Best,
-- Manel.
Hi,
Before going more in detail into the implementation of Elliot, I would like to know whether Elliot will be the right package for my experiments.
Basically, I am interested in context-aware recommender system (CARS) algorithms i.e., FM, FFM.
When looking here I found some CARS algorithms but I don't see in the parameter how to add the side information (either user auxilliary information or item auxilliary information). (1) Would that mean that I only need to mention the extra side information in the YAML file only? Or does it mean that there are only specific algorithms implemented in Elliot that do take into account side information? If so could you list them please?
(2) Do you have somewhere an example of code running CARS algorithm and is it possible to reproduce your results?
Thank you in advance.
Looking forward to hearing back from you.
Best,
-- Manel.