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Over the past decade, tremendous progress has been made in Recommender Systems (RecSys) for well-known tasks such as next-item and next-basket prediction.
Triple2vec: Learning triple embeddings from knowledge graphs,
V. Fionda, G. Pirrò, · 1905
Earlier work this paper cites.
Item-based collaborative filtering recommendation algorithms,
B. M. Sarwar, G. Karypis, J. A. Konstan, J. Riedl, · 2001
Earlier work this paper cites.
A nmf-based collaborative filtering recommendation algorithm,
T. Li, J. Wang, H. Chen, X. Feng, F. Ye, · 2006
Earlier work this paper cites.
Collaborative filtering for implicit feedback datasets,
Y. Hu, Y. Koren, C. Volinsky, · 2008
Earlier work this paper cites.
On offline evaluation of recommender systems,
Y. Ji, A. Sun, J. Zhang, C. Li, · 2010
Earlier work this paper cites.
Performance of recommender algorithms on top-n recommendation tasks,
P. Cremonesi, Y. Koren, R. Turrin, · 2010
Earlier work this paper cites.
Factorizing personalized markov chains for next-basket recommendation,
S. Rendle, C. Freudenthaler, L. Schmidt-Thieme, · 2010
Earlier work this paper cites.
Towards a more realistic evaluation: Testing the ability to predict future tastes of matrix factorization-based recommenders,
P. G. Campos, F. Díez, M. Sánchez-Montañés, · 2011
Earlier work this paper cites.
Slim: Sparse linear methods for top-n recommender systems,
X. Ning, G. Karypis, · 2011
Earlier work this paper cites.
The movielens datasets: History and context,
F. M. Harper, J. A. Konstan, · 2015
Earlier work this paper cites.
Improved recurrent neural networks for session-based recommendations,
Y. K. Tan, X. Xu, Y. Liu, · 2016
Earlier work this paper cites.
Friend recommendation system for online social networks: A survey,
V. S. Parvathy, T. K. Ratheesh, · 2017
Earlier work this paper cites.
Personalized multi-period tour recommendations,
S. Kotiloglu, T. Lappas, K. Pelechrinis, P. Repoussis, · 2017
Cited alongside, same era.
It’s time to consider ”time” when evaluating recommender-system algorithms [proposal] (2017)
J. Beel, · 2017
Cited alongside, same era.
Sequence-aware recommender systems,
M. Quadrana, P. Cremonesi, D. Jannach, · 2018
Cited alongside, same era.
Variational autoencoders for collaborative filtering,
D. Liang, R. G. Krishnan, M. D. Hoffman, T. Jebara, · 2018
Cited alongside, same era.
Self-attentive sequential recommendation,
W.-C. Kang, J. McAuley, · 2018
Cited alongside, same era.
Are we really making much progress? A worrying analysis of recent neural recommendation approaches,
M. F. Dacrema, P. Cremonesi, D. Jannach, · 2019
Cited alongside, same era.
Movie recommendation systems: A brief overview,
N. Sharma, M. Dutta, · 2020
Later among the works it cites.
A survey of music recommendation systems with a proposed music recommendation system,
D. Paul, S. Kundu, · 2020
Later among the works it cites.
How to retrain recommender system?: A sequential meta-learning method,
Y. Zhang, F. Feng, C. Wang, X. He, M. Wang, Y. Li, Y. Zhang, · 2020
Later among the works it cites.
Exploring data splitting strategies for the evaluation of recommendation models,
Z. Meng, R. McCreadie, C. Macdonald, I. Ounis, · 2020
Later among the works it cites.
Modeling personalized item frequency information for next-basket recommendation,
H. Hu, X. He, J. Gao, Z.-L. Zhang, · 2020
Later among the works it cites.
Are we evaluating rigorously? benchmarking recommendation for reproducible evaluation and fair comparison,
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Embarrassingly shallow autoencoders for sparse data,
H. Steck, · 2019
Cited alongside, same era.
Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer,
F. Sun, J. Liu, J. Wu, C. Pei, X. Lin, W. Ou, P. Jiang, · 2019
Cited alongside, same era.
Sets2sets: Learning from sequential sets with neural networks,
H. Hu, X. He, · 2019
Cited alongside, same era.
Correlation-sensitive next-basket recommendation,
D.-T. Le, H. W. Lauw, Y. Fang, · 2019
Cited alongside, same era.
Learning disentangled representations for recommendation,
J. Ma, C. Zhou, P. Cui, H. Yang, W. Zhu, · 2019
Cited alongside, same era.
Repeatnet: A repeat aware neural recommendation machine for session-based recommendation,
P. Ren, Z. Chen, J. Li, Z. Ren, J. Ma, M. Rijke, · 2019
Cited alongside, same era.
Z. Sun, D. Yu, H. Fang, J. Yang, X. Qu, J. Zhang, C. Geng, · 2020
Later among the works it cites.
A re-visit of the popularity baseline in recommender systems,
Y. Ji, A. Sun, J. Zhang, C. Li, · 2020
Later among the works it cites.
Recvae: A new variational autoencoder for top-n recommendations with implicit feedback,
I. Shenbin, A. Alekseev, E. Tutubalina, V. Malykh, S. I. Nikolenko, · 2020
Later among the works it cites.
A next basket recommendation reality check,
M. Li, S. Jullien, M. Ariannezhad, M. d. Rijke, · 2021
Closest in time.
Time-dependent evaluation of recommender systems,
T. Scheidt, J. Beel, · 2021
Closest in time.
E. Amigo, P. Castells, J. Gonzalo, B. Carterette, J. S. Culpepper, G. Kazai, M. Ariannezhad, S. Jullien, M. Li, M. Fang, et al., · 2022
Closest in time.
A multi-period product recommender system in online food market based on recurrent neural networks,
H. I. Lee, I. Y. Choi, H. S. Moon, J. K. Kim, · 2071
Closest in time.