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tifuknn_tafeng.py
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tifuknn_tafeng.py
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# Copyright 2023 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
# limitations under the License.
# ============================================================================
"""Example of Temporal-Item-Frequency-based User-KNN (TIFUKNN)"""
import cornac
from cornac.eval_methods import NextBasketEvaluation
from cornac.metrics import NDCG, HitRatio, Recall
from cornac.models import TIFUKNN
data = cornac.datasets.tafeng.load_basket(reader=cornac.data.Reader(min_basket_size=3, max_basket_size=50, min_basket_sequence=2))
next_basket_eval = NextBasketEvaluation(data=data, fmt="UBITJson", test_size=0.2, val_size=0.08, seed=123, verbose=True)
models = [
TIFUKNN(
n_neighbors=300,
within_decay_rate=0.9,
group_decay_rate=0.7,
alpha=0.7,
n_groups=7,
)
]
metrics = [
Recall(k=10),
Recall(k=50),
NDCG(k=10),
NDCG(k=50),
HitRatio(k=10),
HitRatio(k=50),
]
cornac.Experiment(eval_method=next_basket_eval, models=models, metrics=metrics).run()