s444409/EKS_SteamSearchEngine
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Better normalization

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This commit is contained in:
emkarcinos 2022-04-06 10:21:38 +02:00
parent f14696c41b
commit c84af9ba00
1 changed files with 4 additions and 2 deletions
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search-engine.py
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@ -39,7 +39,7 @@ def okapi_bm25(query, document_vectors, vectorizer: TfidfVectorizer):
def parse_owners(data):
data = str(data)
if data == 'nan':
return 1.0
return 1000.0
return float(data.split('-')[1])
@ -67,9 +67,11 @@ while True:
vectorizer.inverse_transform
similarities = okapi_bm25(query_vector, document_vectors, vectorizer)
if enable_popularity:
popularities = steam_data.join(steam_data_names, on='appid', lsuffix='name')['owners'].map(parse_owners).values
popularities = steam_data.join(steam_data_names, on='appid', lsuffix='name', how='left')['owners'].map(parse_owners).values
popularities_normalized = popularities / np.linalg.norm(popularities)
similarities = np.multiply(similarities, popularities_normalized)
similarities = similarities / np.linalg.norm(similarities)
exec_time = time.time() - start_time
results_count = len([x for x in similarities if x > 0])