Integrating Item Relevance in Training Loss for Sequential Recommender Systems-Reference-Cited by-同舟云学术

Integrating Item Relevance in Training Loss for Sequential Recommender Systems

Published:2023-09-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th ACM Conference on Recommender Systems
language:
Short-container-title:

Author:

Bacciu Andrea^ORCID,Siciliano Federico^ORCID,Tonellotto Nicola^ORCID,Silvestri Fabrizio^ORCID

Funder

European Union - MUR National Recovery and Resilience Plan

PNRR MUR

PRIN 2020

RC Advanced Grant

ERC Starting Grant

EC H2020RIA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3604915.3610643

Reference43 articles.

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3. Filippo Betello Federico Siciliano Pushkar Mishra and Fabrizio Silvestri. 2023. Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations: an Empirical Study. arxiv:2307.13165 [cs.IR] Filippo Betello Federico Siciliano Pushkar Mishra and Fabrizio Silvestri. 2023. Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations: an Empirical Study. arxiv:2307.13165 [cs.IR]

4. Carlo Bonferroni . 1936. Teoria statistica delle classi e calcolo delle probabilita. Pubblicazioni del R Istituto Superiore di Scienze Economiche e Commericiali di Firenze 8 ( 1936 ), 3–62. Carlo Bonferroni. 1936. Teoria statistica delle classi e calcolo delle probabilita. Pubblicazioni del R Istituto Superiore di Scienze Economiche e Commericiali di Firenze 8 (1936), 3–62.

5. Jianxin Chang Chen Gao Yu Zheng Yiqun Hui Yanan Niu Yang Song Depeng Jin and Yong Li. 2021. Sequential recommendation with graph neural networks. 378–387 pages. Jianxin Chang Chen Gao Yu Zheng Yiqun Hui Yanan Niu Yang Song Depeng Jin and Yong Li. 2021. Sequential recommendation with graph neural networks. 378–387 pages.

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