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When Newer is Not Better: Does Deep Learning Really Benefit
  Recommendation From Implicit Feedback?

When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?

2 May 2023
Yushun Dong
Jundong Li
Tobias Schnabel
ArXivPDFHTML

Papers citing "When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?"

3 / 3 papers shown
Title
Why is Normalization Necessary for Linear Recommenders?
Why is Normalization Necessary for Linear Recommenders?
Seongmin Park
Mincheol Yoon
Hye-young Kim
Jongwuk Lee
35
0
0
08 Apr 2025
Toward a Better Understanding of Loss Functions for Collaborative
  Filtering
Toward a Better Understanding of Loss Functions for Collaborative Filtering
Seongmin Park
Mincheol Yoon
Jae-woong Lee
Hogun Park
Jongwuk Lee
24
13
0
11 Aug 2023
User-oriented Fairness in Recommendation
User-oriented Fairness in Recommendation
Yunqi Li
H. Chen
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
FaML
100
228
0
21 Apr 2021
1