Recommender systems using temporal restricted sequential patterns

Author:

Galarreta Ana-Paula,Samamé Hilda,Maehara Yoshitomi,Nunez-del-Prado MiguelORCID,Alatrista-Salas Hugo

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference32 articles.

1. Accenture: Banking on value (2019). https://www.accenture.com/nl-en/insights/strategy/banking-on-value. Accessed Jan 2022

2. Afsar MM, Crump T, Far B (2021) Reinforcement learning based recommender systems: a survey. arXiv preprint arXiv:2101.06286

3. Agrawal R, Srikant R (1995) Mining sequential patterns. In: Proceedings of the eleventh international conference on data engineering. IEEE, pp 3–14

4. Alatrista-Salas H, Guevara-Cogorno A, Maehara Y, Nunez-del Prado M (2020) Efficiently mining gapped and window constraint frequent sequential patterns. In: Torra V, Narukawa Y, Nin J, Agell N (eds) Modeling decisions for artificial intelligence. Springer International Publishing, Cham, pp 240–251

5. Aleksandrova M, Brun A, Boyer A, Chertov O (2014) What about interpreting features in matrix factorization-based recommender systems as users? In: HT (Doctoral consortium/late-breaking results/workshops). Citeseer

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