def get_user_match(name=None,gender=None,age=None,occupation=None):
# Default values if gender, age or occupation are not passed in.
_name = 'User'
_gender = 'M'
_age = 21
_occupation = 'student'
dataList,userList,itemList = read_data_files(dataName='data_files/u.data',itemName='data_files/u.item',userName='******')
prefs = get_prefs(dataList,itemList,userList)
similarUsers = list(filter(lambda x: x['age'] == _age and x['gender'] == _gender and x['occupation'] == _occupation,userList))
defaultLogger.info("{0} similar users found".format(len(similarUsers)))
def get_user_match(name=None,gender=None,age=None,occupation=None):
# Default values if gender, age or occupation are not passed in.
_name = 'User'
_gender = 'M'
_age = 21
_occupation = 'student'
if name:
_name = name
if gender:
_gender = gender
if age:
_age = age
if occupation:
_occupation = occupation
# Get the data for the math
dataList,userList,itemList = read_data_files(dataName='data_files/u.data',itemName='data_files/u.item',userName='******')
# Create a dictionary of users and the movies that they rated.
prefs = get_prefs(dataList,itemList,userList)
similarUsers = list(filter(lambda x: x['age'] == _age and x['gender'] == _gender and x['occupation'] == _occupation,userList))
defaultLogger.info("{0} similar users found".format(len(similarUsers)))
# Ensure that there are at least 3 similar users found in the filter.
userInformation = {}
for i in similarUsers:
user_id = int(i['user_id'])
defaultLogger.debug("Getting movie ratings for user: {0}".format(user_id))
userPrefs = prefs[user_id]
defaultLogger.debug("{0} movie ratings found for user: {0}".format(len(userPrefs),user_id))
# Create a list that can be sorted on rating id
defaultLogger.debug("Creating list that can be sorted for user: {0}".format(user_id))
movieRankingList = []
for movie in userPrefs.keys():
movieTitle = movie
rating = userPrefs[movie]
movieRankingList.append({'movie_title':movieTitle,'rating':rating})
lowestToHigh = sorted(movieRankingList,key=lambda x: x['rating'],reverse=False)
highestToLow = sorted(movieRankingList,key=lambda x: x['rating'],reverse=True)
defaultLogger.info("Determining top three favorite movies and top three least favorite films for user: {0}".format(user_id))
userInformation[user_id] = {'top_three_favorite':highestToLow[:3], 'bottom_three_favorite':lowestToHigh[:3]}
return userInformation
def get_user_match(name=None, gender=None, age=None, occupation=None):
# Default values if gender, age or occupation are not passed in.
_name = 'User'
_gender = 'M'
_age = 21
_occupation = 'student'
dataList, userList, itemList = read_data_files(
dataName='data_files/u.data',
itemName='data_files/u.item',
userName='******')
prefs = get_prefs(dataList, itemList, userList)
similarUsers = list(
filter(
lambda x: x['age'] == _age and x['gender'] == _gender and x[
'occupation'] == _occupation, userList))
defaultLogger.info("{0} similar users found".format(len(similarUsers)))
for i in range(len(topFiveMostCorrelated)):
print('{rank}){uid:.<48}{correlation_coeffient:<+6}'.format(rank=i+1,uid=topFiveMostCorrelated[i]['user_id'],correlation_coeffient=topFiveMostCorrelated[i]['correlation_coefficent']))
# Print least correlated
print('{heading:-^54}'.format(heading='Top Five Least Correlated'))
for i in range(len(topFiveMostCorrelated)):
print('{rank}){uid:.<48}{correlation_coeffient:<+6}'.format(rank=i+1,uid=topFiveLeastCorrelated[i]['user_id'],correlation_coeffient=topFiveLeastCorrelated[i]['correlation_coefficent']))
print(54*'-')
print(54*'-')
#pass
if __name__ == '__main__':
dataList,userList,itemList = read_data_files(dataName='data_files/u.data',itemName='data_files/u.item',userName='******')
prefs = get_prefs(dataList,itemList,userList)
arguments = list(sys.argv)
userThreads = [] # A list of user threads.
userThreadResults = {} # A list of results from those threads
# Check for help flag
if '-h' in arguments:
print("Usage: <user-id-num>...")
else:
for userId in range(1,len(sys.argv)):
# Check to see if the userId is valid
if len(list(filter(lambda user: user['user_id'] == int(sys.argv[userId]),userList))) != 0:
defaultLogger.debug("Creating thread for: {user_id}".format(user_id=sys.argv[userId]))
# Create thread to process the user if the id is valid
"{rank}){uid:.<48}{correlation_coeffient:<+5}".format(
rank=i + 1,
uid=topFiveLeastCorrelated[i]["user_id"],
correlation_coeffient=topFiveLeastCorrelated[i]["correlation_coefficent"],
)
)
print(54 * "-")
print(54 * "-")
# pass
if __name__ == "__main__":
dataList, userList, itemList = read_data_files(
dataName="C:/Python27/AS7/src/data_files/u.data",
itemName="C:/Python27/AS7/src/data_files/u.item",
userName="******",
)
prefs = get_prefs(dataList, itemList, userList)
arguments = list(sys.argv)
userThreads = [] # A list of user threads.
userThreadResults = {} # A list of results from those threads
# Check for help flag
if "-h" in arguments:
print("Usage: <user-id-num>...")
else:
for userId in range(1, len(sys.argv)):
# Check to see if the userId is valid
if len(list(filter(lambda user: user["user_id"] == int(sys.argv[userId]), userList))) != 0:
print(
"{rank}){uid:.<48}{correlation_coeffient:<+5}".format(
rank=i + 1,
uid=topFiveLeastCorrelated[i]["user_id"],
correlation_coeffient=topFiveLeastCorrelated[i]["correlation_coefficent"],
)
)
print(54 * "-")
print(54 * "-")
# pass
if __name__ == "__main__":
dataList, userList, itemList = read_data_files(
dataName="data_files/u.data", itemName="data_files/u.item", userName="******"
)
prefs = get_prefs(dataList, itemList, userList)
arguments = list(sys.argv)
userThreads = [] # A list of user threads.
userThreadResults = {} # A list of results from those threads
# Check for help flag
if "-h" in arguments:
print("Usage: <user-id-num>...")
else:
for userId in range(1, len(sys.argv)):
# Check to see if the userId is valid
if len(list(filter(lambda user: user["user_id"] == int(sys.argv[userId]), userList))) != 0:
defaultLogger.debug("Creating thread for: {user_id}".format(user_id=sys.argv[userId]))
