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October 22, 2015 21:21
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We have dataset of requests and vacancies titles and descriptions. We need to find similar queries and jobs.
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#!/usr/bin/python | |
# -*- coding: utf-8 -*- | |
__author__ = 'madrugado' | |
import sys | |
import pymystem3 | |
import itertools | |
from collections import Counter | |
import math | |
def main(): | |
queries = {} | |
vacancies = {} | |
m = pymystem3.Mystem() | |
with open(sys.argv[1]) as q, open(sys.argv[2]) as v: | |
for line in q: | |
parts = line.strip().split("\t") | |
if len(parts) == 1: | |
query = "" | |
uid = int(parts[0]) | |
elif len(parts) == 2: | |
query = parts[0].lower() | |
if parts[1] == "NULL": | |
uid = None | |
else: | |
uid = int(parts[1]) | |
clean_query = " ".join(filter(lambda x: len(x) != 1 and x != 'or', | |
m.lemmatize(query.replace(".,()-", '') | |
.decode(encoding='utf8', errors='ignore') | |
.replace(u".,()-", '') | |
.lower() | |
.encode('utf8'))[:-1])) | |
if uid in queries: | |
queries[uid].append(clean_query) | |
else: | |
queries[uid] = [clean_query] | |
for line in v: | |
parts = line.strip().split("\t") | |
vacancy = int(parts[0]) | |
uid = int(parts[1]) | |
if len(parts) >= 3: | |
query = parts[2].lower() | |
else: | |
query = "" | |
clean_query = " ".join(filter(lambda x: len(x) != 1 and x != 'or', | |
m.lemmatize(query | |
.decode(encoding='utf8', errors='ignore') | |
.replace(".,()-", '') | |
.lower() | |
.encode('utf8'))[:-1])) | |
if uid in vacancies: | |
vacancies[uid].append((vacancy, clean_query)) | |
else: | |
vacancies[uid] = [(vacancy, clean_query)] | |
all_q = [item for uid in queries for item in queries[uid]] | |
uniq_q = set(all_q) | |
tokens = Counter([item for sublist in map(lambda x: x.split(' '), all_q) for item in sublist]) | |
# TODO: add interesting query | |
for _ in xrange(10): | |
input_query = sys.stdin.readline().strip() | |
clean_query = " ".join(filter(lambda x: len(x) != 1 and x != 'or', | |
m.lemmatize(input_query | |
.decode(encoding='utf8', errors='ignore') | |
.replace(".,()-", '') | |
.lower() | |
.encode('utf8'))[:-1])) | |
output = [] | |
for test_q in all_q: | |
tokens_a = set(test_q.split(' ')) | |
tokens_b = set(clean_query.split(' ')) | |
output.append((test_q, len(tokens_a.intersection(tokens_b)) \ | |
* math.log(float(len(uniq_q)) / sum([tokens[x] for x in tokens_a.union(tokens_b)])))) | |
print sorted(output, key=lambda x: -x[1])[:5] | |
if __name__ == '__main__': | |
main() |
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