app_recommender.py
2.03 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
#!/usr/bin/python
# AppRecommender - A GNU/Linux application recommender
#
# Copyright (C) 2010 Tassia Camoes <tassia@gmail.com>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
import os
import sys
import logging
from config import *
from data import *
from evaluation import *
from similarity_measure import *
from recommender import *
from strategy import *
from user import *
def set_up_recommender(cfg):
if cfg.strategy == "cta":
axi_db = xapian.Database(cfg.axi)
app_rec = Recommender(axi_db)
app_rec.set_strategy(AxiContentBasedStrategy())
elif cfg.strategy == "ct":
debtags_db = DebtagsDB(cfg.tags_db)
if not debtags_db.load():
logging.error("Could not load DebtagsDB from %s." % cfg.tags_db)
sys.exit(1)
debtags_index = DebtagsIndex(os.path.expanduser(cfg.tags_index))
debtags_index.load(debtags_db,cfg.reindex)
app_rec = Recommender(debtags_index)
app_rec.set_strategy(ContentBasedStrategy())
return app_rec
def cross_validation(recommender):
metrics = []
metrics.append(Precision())
metrics.append(Recall())
validation = CrossValidation(0.1,10,recommender,metrics)
validation.run(user)
if __name__ == '__main__':
cfg = Config()
cfg.load_options()
cfg.set_logger()
rec = set_up_recommender(cfg)
user = LocalSystem()
result = rec.get_recommendation(user)
result.print_result()
cross_validation(rec)