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twndus
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YelpRecommendation
Matching benchmark performance in recommendation systems with Yelp 2018 dataset
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Doc/wrap up
#24
twndus
closed
3 weeks ago
1
Feat/21 s3rec
#23
GangBean
closed
3 weeks ago
0
Feat/20 ngcf
#22
GangBean
closed
3 weeks ago
0
[FEAT] implements S3Rec
#21
GangBean
closed
3 weeks ago
0
[FEAT] implement NGCF
#20
twndus
closed
3 weeks ago
0
[EXP] Evaluate CDAE, MF-BPR Performance #18
#19
GangBean
opened
4 months ago
1
[EXP] Evaluate Deep & Cross Network (DCN) Performance
#18
twndus
opened
4 months ago
2
Feat/16 dcn
#17
GangBean
closed
4 months ago
0
[FEAT] implement DCN
#16
GangBean
closed
4 months ago
0
Feat/12 mf-bpr
#15
twndus
closed
4 months ago
0
[FEAT] Implements Wide and Deep
#14
GangBean
closed
3 weeks ago
0
Feat/9 mlflow
#13
GangBean
closed
4 months ago
0
[FEAT] Implement MF + BPR
#12
twndus
closed
4 months ago
1
Feat/5-cdae
#11
twndus
closed
4 months ago
0
Feat/4-pipeline
#10
twndus
closed
5 months ago
0
[FEAT] experiment tracking by mlflow
#9
twndus
closed
4 months ago
1
Feat/4-pipeline-J
#8
GangBean
closed
5 months ago
0
Feat/4-pipeline-L
#7
twndus
closed
5 months ago
0
Feat/3-preprocess
#6
twndus
closed
5 months ago
0
[FEAT] implement CDAE
#5
twndus
closed
4 months ago
4
[FEAT] Build Training Pipeline
#4
twndus
closed
5 months ago
0
[FEAT] Data Preprocessing
#3
twndus
closed
5 months ago
0
[Feat] Setup GPU environments
#2
GangBean
closed
3 weeks ago
3
[PR] Issue & PR template setting
#1
GangBean
closed
5 months ago
0