sbpr_epinions.py

# Copyright 2018 The Cornac Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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# ============================================================================
"""Example for Social Bayesian Personalized Ranking with Epinions dataset"""

import cornac
from cornac.data import Reader, GraphModality
from cornac.datasets import epinions
from cornac.eval_methods import RatioSplit

ratio_split = RatioSplit(data=epinions.load_data(Reader(bin_threshold=4.0)),
                         test_size=0.1, rating_threshold=0.5,
                         exclude_unknowns=True, verbose=True,
                         user_graph=GraphModality(data=epinions.load_trust()))

sbpr = cornac.models.SBPR(k=10, max_iter=50, learning_rate=0.001,
                          lambda_u=0.015, lambda_v=0.025, lambda_b=0.01,
                          verbose=True)
rec_10 = cornac.metrics.Recall(k=10)

cornac.Experiment(eval_method=ratio_split,
                  models=[sbpr],
                  metrics=[rec_10]).run()