coll-filter 1.2.1

Collaborative Filtering with multi-process parallelism.

Usage Sample ''''''''''''

.. code:: python

from cf import CollFilter

if name == 'main': data = read_data(train_path) data = pre_process(data) # return [(user_id: Any, item_id: Any, float),] cf = CollFilter(data) ucf = cf.user_cf() # return {user_id: [(item_id, score),],} icf = cf.item_cf() # return {user_id: [(item_id, score),],} recommends = cf.recommends(user_ids, recall_num=5) # return {user_id: [(item_id, score),],} recommend = cf.recommend(user_id, recall_num=5) # return [(item_id, score),] cf.release()