Source code for cornac.datasets.amazon_toy

# 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
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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"""
This data is built based on the Amazon datasets
provided by Julian McAuley at: http://jmcauley.ucsd.edu/data/amazon/
"""

from ..utils import cache
from ..data import Reader
from typing import List


[docs] def load_feedback(fmt="UIR", reader: Reader = None) -> List: """Load the user-item ratings, scale: [1,5] Parameters ---------- reader: `obj:cornac.data.Reader`, default: None Reader object used to read the data. Returns ------- data: array-like Data in the form of a list of tuples (user, item, rating). """ fpath = cache(url='https://static.preferred.ai/cornac/datasets/amazon_toy/rating.zip', unzip=True, relative_path='amazon_toy/rating.txt') reader = Reader() if reader is None else reader return reader.read(fpath, fmt=fmt, sep=',')
[docs] def load_sentiment(reader: Reader = None) -> List: """Load the user-item-sentiments The dataset was constructed by the method described in the reference paper. Parameters ---------- reader: `obj:cornac.data.Reader`, default: None Reader object used to read the data. Returns ------- data: array-like Data in the form of a list of tuples (user, item, [(aspect, opinion, sentiment), (aspect, opinion, sentiment), ...]). References ---------- Gao, J., Wang, X., Wang, Y., & Xie, X. (2019). Explainable Recommendation Through Attentive Multi-View Learning. AAAI. """ fpath = cache(url='https://static.preferred.ai/cornac/datasets/amazon_toy/sentiment.zip', unzip=True, relative_path='amazon_toy/sentiment.txt') reader = Reader() if reader is None else reader return reader.read(fpath, fmt='UITup', sep=',', tup_sep=':')