Esempi in Python per build_user_profiles_from

Esempio n. 1

File: simple_user_profile.py Progetto: xrigaru/Introduction-to-Recommender-Systems-1

def assignment():
    userPreferences = users.read_userpreferences()
    documents = docs.read()

    userProfiles = build_user_profiles_from(userPreferences, documents)

    userPredictions = build_user_predictions_from(userProfiles, documents)

    for username, predictions in userPredictions.iteritems():
        sortedPredictions = sorted(predictions.items(), key=operator.itemgetter(1))
        userPredictions[username] = sortedPredictions

    pprint.pprint(userPredictions)

Esempio n. 2

File: simple_user_profile.py Progetto: rgarciarui/Introduction-to-Recommender-Systems-1

def assignment():
    userPreferences = users.read_userpreferences()
    documents = docs.read()

    userProfiles = build_user_profiles_from(userPreferences, documents)

    userPredictions = build_user_predictions_from(userProfiles, documents)

    for username, predictions in userPredictions.iteritems():
        sortedPredictions = sorted(predictions.items(),
                                   key=operator.itemgetter(1))
        userPredictions[username] = sortedPredictions

    pprint.pprint(userPredictions)

Esempio n. 3

File: user_profile_with_documents_having_unit_weight.py Progetto: xrigaru/Introduction-to-Recommender-Systems-1

def assignment():
    userpreferences = users.read_userpreferences()
    documents = docs.read()

    documentsWithUnitWeight = np.zeros((20, 10))

    for docIndex in range(len(documents)):
        document = documents[docIndex]
        documentsWithUnitWeight[docIndex] = scale_to_unit_length(document)

    userProfiles = build_user_profiles_from(userpreferences, documentsWithUnitWeight)

    userPredictions = build_user_predictions_from(userProfiles, documentsWithUnitWeight)

    for username, predictions in userPredictions.iteritems():
        sortedPredictions = sorted(predictions.items(), key=operator.itemgetter(1))
        userPredictions[username] = sortedPredictions

    pprint.pprint(userPredictions)

Esempio n. 4

File: user_profile_with_documents_having_unit_weight.py Progetto: rgarciarui/Introduction-to-Recommender-Systems-1

def assignment():
    userpreferences = users.read_userpreferences()
    documents = docs.read()

    documentsWithUnitWeight = np.zeros((20, 10))

    for docIndex in range(len(documents)):
        document = documents[docIndex]
        documentsWithUnitWeight[docIndex] = scale_to_unit_length(document)

    userProfiles = build_user_profiles_from(userpreferences,
                                            documentsWithUnitWeight)

    userPredictions = build_user_predictions_from(userProfiles,
                                                  documentsWithUnitWeight)

    for username, predictions in userPredictions.iteritems():
        sortedPredictions = sorted(predictions.items(),
                                   key=operator.itemgetter(1))
        userPredictions[username] = sortedPredictions

    pprint.pprint(userPredictions)