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최신 기사에 대한 가중치 강화 #6

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최신 기사에 대한 가중치 강화 #6

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ee09c47
modify article_data.csv : 날짜 데이터 추가
YunseongJeong Jul 10, 2024
d46403f
modify interaction_data.csv : 필요없는 열 제거
YunseongJeong Jul 10, 2024
306ca69
feat recommend_service.py : 최신 기사에 가중치가 추가되도록 코드 변경
YunseongJeong Jul 10, 2024
df02ba2
feat recommend_service.py : article이 추가될 때 부분적인 model fit 함수 구현
YunseongJeong Jul 10, 2024
dea2cbd
refact recommend_service.py : 필요없는 코드 제거
YunseongJeong Jul 10, 2024
78090d5
feat(recommend_service.py) : 수정
YunseongJeong Aug 5, 2024
2dbeef4
feat(main.py) : 테스트용 로직 구현
YunseongJeong Aug 5, 2024
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204 changes: 102 additions & 102 deletions data/article_data.csv
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,102 +1,102 @@
article_id,Economy and Business,Politics and Society,Technology and Culture,Sports and Leisure,Opinion and Analysis
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article_id,Economy and Business,Politics and Society,Technology and Culture,Sports and Leisure,Opinion and Analysis,created at
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58,0.0,1.0,0.0,0.0,0.0,2023-02-27
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80,0.0,0.0,0.0,0.0,1.0,2023-03-21
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83,0.0,0.0,1.0,0.0,0.0,2023-03-24
84,0.0,0.0,1.0,0.0,0.0,2023-03-25
85,0.0,0.0,1.0,0.0,0.0,2023-03-26
86,0.0,0.0,0.0,1.0,0.0,2023-03-27
87,0.0,0.0,0.0,0.0,1.0,2023-03-28
88,0.0,1.0,0.0,0.0,0.0,2023-03-29
89,0.0,1.0,0.0,0.0,0.0,2023-03-30
90,0.0,0.0,1.0,0.0,0.0,2023-03-31
91,0.0,0.0,1.0,0.0,0.0,2023-04-01
92,1.0,0.0,0.0,0.0,0.0,2023-04-02
93,0.0,0.0,0.0,0.0,1.0,2023-04-03
94,0.0,0.0,0.0,1.0,0.0,2023-04-04
95,0.0,1.0,0.0,0.0,0.0,2023-04-05
96,1.0,0.0,0.0,0.0,0.0,2023-04-06
97,1.0,0.0,0.0,0.0,0.0,2023-04-07
98,0.0,1.0,0.0,0.0,0.0,2023-04-08
99,0.0,0.0,0.0,1.0,0.0,2023-04-09
100,1.0,0.0,0.0,0.0,0.0,2023-04-10
101,0.0,1.0,0.0,0.0,0.0,2023-04-11
131 changes: 65 additions & 66 deletions data/interaction_data.csv
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,66 +1,65 @@
classification_id,article_id,duration_time,user_id
13.0,41,98,
20.0,74,65,
3.0,1,1,
18.0,50,63,
1.0,42,64,
15.0,61,33,
19.0,47,83,
4.0,27,17,
12.0,58,59,
6.0,38,92,
16.0,60,75,
14.0,72,77,
17.0,75,50,
11.0,62,20,
7.0,36,79,
5.0,20,27,
9.0,19,45,
8.0,19,30,
10.0,44,23,
2.0,8,14,
2.0,58,53,
17.0,87,54,
14.0,17,6,
1.0,12,12,
12.0,15,92,
11.0,19,30,
12.0,62,6,
20.0,100,38,
10.0,32,37,
19.0,57,3,
5.0,76,94,
18.0,53,39,
4.0,91,18,
14.0,16,5,
12.0,45,74,
13.0,77,21,
2.0,56,69,
9.0,36,66,
7.0,28,38,
15.0,24,57,
15.0,39,98,
10.0,54,33,
8.0,85,95,
20.0,36,10,
7.0,8,13,
14.0,67,26,
16.0,16,34,
10.0,70,10,
6.0,80,85,
5.0,14,34,
6.0,50,63,
1.0,96,54,
8.0,38,92,
3.0,83,29,
11.0,91,72,
7.0,92,64,
2.0,36,73,
17.0,63,92,
9.0,75,73,
16.0,39,85,
1.0,61,74,
20.0,76,90,
6.0,90,85,
12.0,19,30,
,101,5,101.0
classification_id,article_id,duration_time
13.0,41,98
20.0,74,65
3.0,1,1
18.0,50,63
1.0,42,64
15.0,61,33
19.0,47,83
4.0,27,17
12.0,58,59
6.0,38,92
16.0,60,75
14.0,72,77
17.0,75,50
11.0,62,20
7.0,36,79
5.0,20,27
9.0,19,45
8.0,19,30
10.0,44,23
2.0,8,14
2.0,58,53
17.0,87,54
14.0,17,6
1.0,12,12
12.0,15,92
11.0,19,30
12.0,62,6
20.0,100,38
10.0,32,37
19.0,57,3
5.0,76,94
18.0,53,39
4.0,91,18
14.0,16,5
12.0,45,74
13.0,77,21
2.0,56,69
9.0,36,66
7.0,28,38
15.0,24,57
15.0,39,98
10.0,54,33
8.0,85,95
20.0,36,10
7.0,8,13
14.0,67,26
16.0,16,34
10.0,70,10
6.0,80,85
5.0,14,34
6.0,50,63
1.0,96,54
8.0,38,92
3.0,83,29
11.0,91,72
7.0,92,64
2.0,36,73
17.0,63,92
9.0,75,73
16.0,39,85
1.0,61,74
20.0,76,90
6.0,90,85
12.0,19,30
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