from builder.recommend_builder import RecommendBuilder import sys, json builder = RecommendBuilder() request = json.loads(sys.stdin.readline()) response = builder.synthetic_vector_label_recommend(request.get('labels'), request.get('target_user')) print(json.dumps(response))
from builder.recommend_builder import RecommendBuilder import sys, json builder = RecommendBuilder() request = json.loads(sys.stdin.readline()) response = builder.label_interest_based_recommend(request.get('interests'), request.get('target_label')) print(json.dumps(response))
from builder.recommend_builder import RecommendBuilder import sys, json builder = RecommendBuilder() request = json.loads(sys.stdin.readline()) response = builder.user_viewed_based_recommend(request.get('viewHistories'), request.get('target_content')) print(json.dumps(response))
from builder.recommend_builder import RecommendBuilder import sys, json builder = RecommendBuilder() request = json.loads(sys.stdin.readline()) response = builder.label_labeling_based_recommend(request.get('labelings'), request.get('target_label')) print(json.dumps(response))
from builder.recommend_builder import RecommendBuilder import sys, json builder = RecommendBuilder() request = json.loads(sys.stdin.readline()) response = builder.user_request_based_recommend(request.get('requests'), request.get('target_user')) print(json.dumps(response))
from builder.recommend_builder import RecommendBuilder import sys, json builder = RecommendBuilder() response = builder.user_score_based_recommend(json.loads(sys.stdin.readline()).get('users'), sys.stdin.readline().get('target_user')) print(json.dumps(response))
from builder.recommend_builder import RecommendBuilder import sys, json builder = RecommendBuilder() request = json.loads(sys.stdin.readline()) response = builder.user_comment_based_recommend(request.get('contents'), request.get('target_content')) print(json.dumps(response))
from builder.recommend_builder import RecommendBuilder import sys, json builder = RecommendBuilder() response = builder.label_create( json.loads(sys.stdin.readline()).get('contents')) print(json.dumps(response)) """ response example: { '2031': content_id { '日本語': label_name [ '英語', label_name extract from label '原語', '外来語', '普通話', '標準語', 'フランス語', 'アメリカ英語', '北京語', '台湾語', '韓国語' ], '公用語': [ '第一言語', 'ウズベク語', 'フィンランド語', '母語', 'ウルドゥー語', 'スウェーデン語', '公式名称', 'ルーマニア語', 'ヒンディー語',
from builder.recommend_builder import RecommendBuilder import sys, json builder = RecommendBuilder() request = json.loads(sys.stdin.readline()) response = builder.synthetic_vector_recommend(request.get('contents'), request.get('target_user')) print(json.dumps(response))