an explainable recommendation system algorithm
Input data format: user feature+ item feature + userid + itemid + target
for example:'uf_1', 'uf_2', 'uf_3', 'uf_4', 'uf_5', 'if_1', 'if_2', 'if_3', 'if_4', 'if_5', 'user_id', 'item_id', 'target'
You could find the detailed documents on https://cnbdm-su.github.io/GAMMLI/