Collaborative Filtering with multi-process parallelism.
Project description
Usage Sample ''''''''''''
.. code:: python
from cf import CollFilter
if __name__ == '__main__':
data = read_data('file_path')
data = pre_process(data) # return [(user_id: Any, item_id: Any, rating: float),]
cf = CollFilter(data)
ucf = cf.user_cf() # return {user_id: [(item_id, score),],}
icf = cf.item_cf() # return {user_id: [(item_id, score),],}
recommend = cf.recommend(user_id, num_recalls=5) # return [(item_id, score),]
recommends = cf.recommends(user_ids, num_recalls=5) # return {user_id: [(item_id, score),],}
cf.release()
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