def initialize_cluster_users(reviews, significant_criteria_ranges=None):
"""
Builds a dictionary containing all the users in the reviews. Each user
contains information about its average overall rating, the list of reviews
that user has made, and the cluster the user belongs to
:param reviews: the list of reviews
:return: a dictionary with the users initialized, the keys of the
dictionaries are the users' ID
"""
user_ids = get_groupby_list(reviews, 'user_id')
user_dictionary = {}
for user_id in user_ids:
user = User(user_id)
user_reviews = ETLUtils.filter_records(reviews, 'user_id', [user_id])
user.average_overall_rating = get_user_average_overall_rating(
user_reviews, user_id, apply_filter=False)
user.criteria_weights = get_criteria_weights(
user_reviews, user_id, apply_filter=False)
_, user.cluster = get_significant_criteria(
user.criteria_weights, significant_criteria_ranges)
user.item_ratings = get_user_item_ratings(user_reviews, user_id)
user.item_multi_ratings = get_user_item_multi_ratings(user_reviews, user_id)
user_dictionary[user_id] = user
# print('Total users: %i' % len(user_ids))
return user_dictionary
def initialize_users(reviews, is_multi_criteria):
"""
Builds a dictionary containing all the users in the reviews. Each user
contains information about its average overall rating, the list of reviews
that user has made, and the cluster the user belongs to
:param reviews: the list of reviews
:return: a dictionary with the users initialized, the keys of the
dictionaries are the users' ID
"""
user_ids = get_groupby_list(reviews, 'user_id')
user_dictionary = {}
for user_id in user_ids:
user = User(user_id)
user_reviews = ETLUtils.filter_records(reviews, 'user_id', [user_id])
user.average_overall_rating = get_user_average_overall_rating(
user_reviews, user_id, apply_filter=False)
user.item_ratings = get_user_item_ratings(user_reviews, user_id)
user_dictionary[user_id] = user
if is_multi_criteria:
user.item_multi_ratings =\
get_user_item_multi_ratings(user_reviews, user_id)
return user_dictionary
def initialize_users(reviews, is_multi_criteria):
"""
Builds a dictionary containing all the users in the reviews. Each user
contains information about its average overall rating, the list of reviews
that user has made, and the cluster the user belongs to
:param reviews: the list of reviews
:return: a dictionary with the users initialized, the keys of the
dictionaries are the users' ID
"""
user_ids = get_groupby_list(reviews, 'user_id')
user_dictionary = {}
for user_id in user_ids:
user = User(user_id)
user_reviews = ETLUtils.filter_records(reviews, 'user_id', [user_id])
user.average_overall_rating = get_user_average_overall_rating(
user_reviews, user_id, apply_filter=False)
user.item_ratings = get_user_item_ratings(user_reviews, user_id)
user_dictionary[user_id] = user
if is_multi_criteria:
user.item_multi_ratings =\
get_user_item_multi_ratings(user_reviews, user_id)
return user_dictionary
def initialize_cluster_users(reviews, significant_criteria_ranges=None):
"""
Builds a dictionary containing all the users in the reviews. Each user
contains information about its average overall rating, the list of reviews
that user has made, and the cluster the user belongs to
:param reviews: the list of reviews
:return: a dictionary with the users initialized, the keys of the
dictionaries are the users' ID
"""
user_ids = get_groupby_list(reviews, 'user_id')
user_dictionary = {}
for user_id in user_ids:
user = User(user_id)
user_reviews = ETLUtils.filter_records(reviews, 'user_id', [user_id])
user.average_overall_rating = get_user_average_overall_rating(
user_reviews, user_id, apply_filter=False)
user.criteria_weights = get_criteria_weights(user_reviews,
user_id,
apply_filter=False)
_, user.cluster = get_significant_criteria(
user.criteria_weights, significant_criteria_ranges)
user.item_ratings = get_user_item_ratings(user_reviews, user_id)
user.item_multi_ratings = get_user_item_multi_ratings(
user_reviews, user_id)
user_dictionary[user_id] = user
# print('Total users: %i' % len(user_ids))
return user_dictionary