RecSys_group5

Recommendation Systems group 5, third year bachelor's project Maastricht University

How to run the code:

1. If you want to run evaluation on individual recommeder systems see:
   • individual_rec/individual_rec_eval_pop.ipynb (Popular Jobs)
   • individual_rec/individual_rec_eval.ipynb (UserUser collaborative filterring)
2. If you want to see group aggregation see:
   • groupAgg/groupAggregation.ipynb
3. If you want to evaluate group aggregation (decoupled evalutation):
   • groupEval/eval.ipynb (aggregation vs least misery)
4. To see generation of explanations and data pre-processing see:
   • explanation.ipynb (explanations)
   • see src directory

Questionnaire links

Group Survey: https://maastrichtuniversity.eu.qualtrics.com/jfe/form/SV_006uKXplK4dbwR8 AND
https://maastrichtuniversity.eu.qualtrics.com/jfe/form/SV_6haeSrAwEWrjIIC Individual surveys: https://maastrichtuniversity.eu.qualtrics.com/jfe/form/SV_2tx9UV5JwnQVy74 AND https://maastrichtuniversity.eu.qualtrics.com/jfe/form/SV_6ifn9nzWDmDj0PA

Questions for monday

Explanations for KNN.
Group or individual explanation.
How do we make groups.