http://www.csie.ntu.edu.tw/~r95007/thesis/svdnetflix/report/report.pdf
http://eecs.wsu.edu/~vjakkula/MLProject.pdf
http://michielvanwezel.com/papers/kagie_vdloos_vwezelV2.pdf
http://cseweb.ucsd.edu/users/elkan/KddNetflixWorkshop.pdf
http://www.cs.uic.edu/~liub/KDD-cup-2007/proceedings/The-Netflix-Prize-Bennett.pdf
准备数据集
1shell 将所有测试数据集文件合并为一个文件
#!/bin/bash
for x in netflix/training_set/mv_*.txt ;
do cat $x >> ratings.txt ;
done &
http://www.netflixprize.com/community/viewtopic.php?id=87
需要下载path模块
#!/usr/bin/env python
import sys
import csv
from path import path
NULL = '\N'
class Dialect(csv.excel):
delimiter = '\t'
lineterminator = '\n'
doublequote = False
escapechar = None
quoting = csv.QUOTE_MINIMAL
def csvDump(iter_rows_func, basename, dir='.', csvdir='csv', dialect=Dialect):
dir,csvdir = path(dir),path(csvdir)
if not csvdir.exists():
csvdir.mkdir()
inpath = dir/basename
outfile = csvdir/inpath.namebase + '.csv'
if not outfile.exists():
write = csv.writer(open(outfile, 'wb'), dialect).writerow
print >> sys.stderr, 'Writing %s ...' % outfile
for row in iter_rows_func(inpath):
write(row)
def iterMovieRows(path):
for line in open(path):
id,year,title = line.rstrip().split(',',2)
year = year!='NULL' and int(year) or NULL
yield (int(id), year, title)
def iterTrainingSetRows(dir):
for path in dir.walkfiles():
iterlines = (line.strip() for line in open(path))
movie_id = int(iterlines.next()[:-1])
for line in iterlines:
user_id,rating,date = line.split(',',2)
yield (movie_id, int(user_id), date, float(rating))
def iterProbeSetRows(path):
for line in (line.strip() for line in open(path)):
try:
user_id = int(line)
except ValueError:
movie_id = int(line[:-1])
else:
yield (movie_id,user_id)
def iterQualifyingSetRows(path):
for line in (line.strip() for line in open(path)):
try:
user_id,date = line.split(',')
except ValueError:
movie_id = int(line[:-1])
else:
yield (movie_id,user_id,date)
if __name__ == '__main__':
kwds = {}
if len(sys.argv) > 1:
kwds['dir'] = sys.argv[1]
if len(sys.argv) > 2:
kwds['csvdir'] = sys.argv[2]
for iterfunc, basename in [
(iterMovieRows, 'movie_titles.txt'),
(iterTrainingSetRows, 'training_set'),
(iterProbeSetRows, 'probe.txt'),
(iterQualifyingSetRows, 'qualifying.txt')]:
csvDump(iterfunc, basename, **kwds)
perl脚本
#!/usr/bin/perl
use strict;
my $dir = '/path/to/your/training_set';
opendir DIR, $dir or die("could not open $dir");
while(my $fname = readdir DIR) {
my $fname = "$dir/$fname";
open FILE, $fname or die("could not open $fname");
(my $mid = <FILE>) =~ s/:.*//s;
while(<FILE>) {
chomp;
print qq("$mid",);
map { print qq("$_",) } split /,/;
print "\n";
}
close FILE;
}
closedir DIR;
exit;
$ time ./bigcsv.pl > bigcsv.csv
real 35m11.521s
user 10m36.272s
sys 4m9.940s
mysql> LOAD DATA INFILE 'bigcsv.csv' INTO TABLE main FIELDS TERMINATED BY ',' ENCLOSED BY '"' LINES TERMINATED BY '\n';
Query OK, 100480507 rows affected (5 min 34.39 sec)
Records: 100480507 Deleted: 0 Skipped: 0 Warnings: 0