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Get best-performing configuration

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This commit is contained in:
Daoud Clarke 2022-08-09 20:56:15 +01:00
parent 8b50643303
commit c99e813398
1 changed files with 24 additions and 19 deletions
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43
mwmbl/tinysearchengine/rank.py
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@ -14,7 +14,7 @@ logger = getLogger(__name__)
SCORE_THRESHOLD = 0.0
LENGTH_PENALTY = 0.01
MATCH_EXPONENT = 1.5
MATCH_EXPONENT = 2
def _get_query_regex(terms, is_complete, is_url):
@ -32,25 +32,30 @@ def _get_query_regex(terms, is_complete, is_url):
def _score_result(terms: list[str], result: Document, is_complete: bool):
domain_score = get_domain_score(result.url)
parsed_url = urlparse(result.url)
domain = parsed_url.netloc
path = parsed_url.path
string_scores = []
logger.debug(f"Item: {result}")
for result_string, is_url in [(result.title, False), (result.extract, False), (domain, True), (domain, False), (path, True)]:
last_match_char, match_length, total_possible_match_length = get_match_features(
terms, result_string, is_complete, is_url)
new_score = score_match(last_match_char, match_length, total_possible_match_length)
logger.debug(f"Item score: {new_score}, result {result_string}")
string_scores.append(new_score)
title_score, extract_score, domain_score, domain_split_score, path_score = string_scores
features = get_features(terms, result.title, result.url, result.extract, result.score, is_complete)
# domain_score = get_domain_score(result.url)
#
# parsed_url = urlparse(result.url)
# domain = parsed_url.netloc
# path = parsed_url.path
# string_scores = []
# logger.debug(f"Item: {result}")
# for result_string, is_url in [(result.title, False), (result.extract, False), (domain, True), (domain, False), (path, True)]:
# last_match_char, match_length, total_possible_match_length = get_match_features(
# terms, result_string, is_complete, is_url)
#
# new_score = score_match(last_match_char, match_length, total_possible_match_length)
# logger.debug(f"Item score: {new_score}, result {result_string}")
# string_scores.append(new_score)
# title_score, extract_score, domain_score, domain_split_score, path_score = string_scores
length_penalty = math.e ** (-LENGTH_PENALTY * len(result.url))
score = (0.01 * domain_score + 0.99 * (
4 * title_score + extract_score + 2 * domain_score + 2 * domain_split_score + path_score) * 0.1) * length_penalty
score = (
4 * features['match_score_title']
+ features['match_score_extract'] +
2 * features['match_score_domain'] +
2 * features['match_score_domain_tokenized']
+ features['match_score_path']) * length_penalty / 10
# score = (0.1 + 0.9*match_score) * (0.1 + 0.9*(result.score / max_score))
# score = 0.01 * match_score + 0.99 * (result.score / max_score)
# print("Result", result, string_scores, score)
@ -76,7 +81,7 @@ def get_features(terms, title, url, extract, score, is_complete):
features[f'last_match_char_{name}'] = last_match_char
features[f'match_length_{name}'] = match_length
features[f'total_possible_match_length_{name}'] = total_possible_match_length
features[f'score_{name}'] = score_match(last_match_char, match_length, total_possible_match_length)
features[f'match_score_{name}'] = score_match(last_match_char, match_length, total_possible_match_length)
features['num_terms'] = len(terms)
features['num_chars'] = len(' '.join(terms))
features['domain_score'] = get_domain_score(url)