Index

A

als_recommendations() (in module rs_course.cf_als)

C

cold_start() (in module rs_course.cold_start)

collaborative_filtering_knn() (in module rs_course.collaborative_filtering_knn) compute_cold_factors() (in module rs_course.cold_start)

D

dnn_recommender() (in module rs_course.dnn_rs)

E

enumerate_users_and_items() (in module rs_course.utils)

evaluate_implicit_recommender() (in module rs_course.utils)

F

factorisation_machines() (in module rs_course.factorisation_machines)

filter_users_and_items() (in module rs_course.utils)

G

get_cold_items() (in module rs_course.cold_start) get_content_based_recommender() (in module rs_course.content_based_knn) get_dnn_predictions() (in module rs_course.dnn_rs)

get_recbole_trained_recommender() (in module rs_course.dnn_rs) get_sparse_item_features() (in module rs_course.utils) get_svd_recs() (in module rs_course.cf_svd)

M

module rs_course.cf_als rs_course.cf_svd rs_course.cold_start rs_course.collaborative_filtering_knn rs_course.content_based_knn rs_course.dnn_rs rs_course.factorisation_machines rs_course.popular rs_course.utils

movielens_split() (in module rs_course.utils)

P

pandas_to_scipy() (in module rs_course.utils) popular_recommender() (in module rs_course.popular)

prepare_recbole_data() (in module rs_course.dnn_rs) pure_svd_recommender() (in module rs_course.cf_svd)

R

rs_course.cf_als module rs_course.cf_svd module rs_course.cold_start module rs_course.collaborative_filtering_knn module rs_course.content_based_knn module

rs_course.dnn_rs module rs_course.factorisation_machines module rs_course.popular module rs_course.utils module