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1911.07698
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A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
18 November 2019
Maurizio Ferrari Dacrema
Simone Boglio
Paolo Cremonesi
Dietmar Jannach
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Papers citing
"A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research"
19 / 69 papers shown
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits
International Conference on Learning Representations (ICLR), 2021
Yan Li
Dhruv Choudhary
Xiaohan Wei
Baichuan Yuan
Bhargav Bhushanam
T. Zhao
Guanghui Lan
123
7
0
10 Oct 2021
A Next Basket Recommendation Reality Check
Ming Li
Sami Jullien
Mozhdeh Ariannezhad
Maarten de Rijke
185
56
0
29 Sep 2021
Reenvisioning Collaborative Filtering vs Matrix Factorization
ACM Conference on Recommender Systems (RecSys), 2021
Vito Walter Anelli
Alejandro Bellogín
Tommaso Di Noia
Claudio Pomo
119
30
0
28 Jul 2021
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
International Conference on Machine Learning (ICML), 2021
Mihaela Curmei
Sarah Dean
Benjamin Recht
113
10
0
30 Jun 2021
Towards a Better Understanding of Linear Models for Recommendation
Knowledge Discovery and Data Mining (KDD), 2021
R. Jin
Dong Li
Jing Gao
Zhi Liu
L. Chen
Yang Zhou
85
38
0
27 May 2021
Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels
Nicolò Felicioni
Maurizio Ferrari Dacrema
Paolo Cremonesi
108
7
0
14 May 2021
A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels
User Modeling, Adaptation, and Personalization (UMAP), 2021
Nicolò Felicioni
Maurizio Ferrari Dacrema
Paolo Cremonesi
129
20
0
13 May 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Le Wu
Xiangnan He
Xiang Wang
Kun Zhang
Meng Wang
HAI
382
391
0
27 Apr 2021
Multi-target prediction for dummies using two-branch neural networks
Machine-mediated learning (ML), 2021
Dimitrios Iliadis
B. De Baets
Willem Waegeman
167
13
0
19 Apr 2021
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective
Stephen Bonner
Carlo Luschi
Cheng Ye
Rowan Swiers
Ola Engkvist
A. Bender
Charles Tapley Hoyt
William L. Hamilton
409
108
0
19 Feb 2021
Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks
The Web Conference (WWW), 2021
B. Paudel
Abraham Bernstein
MLAU
303
22
0
18 Feb 2021
Item Recommendation from Implicit Feedback
Steffen Rendle
213
48
0
21 Jan 2021
The complementarity of a diverse range of deep learning features extracted from video content for video recommendation
Expert systems with applications (ESWA), 2020
A. Almeida
J. D. Villiers
A. Freitas
Mergandran Velayudan
119
20
0
21 Nov 2020
Session-aware Recommendation: A Surprising Quest for the State-of-the-art
Sara Latifi
Noemi Mauro
Dietmar Jannach
212
48
0
06 Nov 2020
Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks
L. Mirvakhabova
Evgeny Frolov
Valentin Khrulkov
Ivan Oseledets
Alexander Tuzhilin
108
37
0
15 Aug 2020
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems
International Conference on Information and Knowledge Management (CIKM), 2020
Maurizio Ferrari Dacrema
Federico Parroni
Paolo Cremonesi
Dietmar Jannach
145
20
0
23 Jul 2020
Adversarial learning for product recommendation
Applied Informatics (AI), 2020
Joel R. Bock
A. Maewal
GAN
CML
84
10
0
07 Jul 2020
Neural Collaborative Filtering vs. Matrix Factorization Revisited
Steffen Rendle
Walid Krichene
Li Zhang
John R. Anderson
183
469
0
19 May 2020
Empirical Analysis of Session-Based Recommendation Algorithms
User modeling and user-adapted interaction (UMUAI), 2019
Malte Ludewig
Noemi Mauro
Sara Latifi
Dietmar Jannach
226
106
0
28 Oct 2019
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