Source code for cornac.datasets.citeulike

# 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
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
This dataset is mostly from the paper 'Collaborative topic modeling for recommending scientific articles'
[Wang and Blei - KDD 2011].  It was further collected, named `citeulike-a`, and used in the paper
'Collaborative Topic Regression with Social Regularization' [Wang, Chen and Li - IJCAI 2013].

Link to the data:

from typing import List

from ..utils import cache
from import Reader

[docs]def load_data(reader: Reader = None) -> List: """Load the implicit feedback between users and items Parameters ---------- 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, 1). """ fpath = cache(url='', relative_path='citeulike/users.dat', unzip=True) reader = Reader() if reader is None else reader return, fmt='UI', sep=' ', id_inline=True)
[docs]def load_text(): """Load item texts including tile and abstract joined together into one document per item. Returns ------- texts: List List of text documents, one per item. ids: List List of item ids aligned with indices in `texts`. """ import csv texts, ids = [], [] fpath = cache(url='', relative_path='citeulike/raw-data.csv', unzip=True) with open(fpath, 'r', encoding='utf-8', errors='ignore') as f: next(f) for row in csv.reader(f, delimiter=',', quotechar='"'): ids.append(row[0]) texts.append(row[3] + '. ' + row[4]) return texts, ids