Make your next item recommendation model time sensitive

Elizaveta, Makhneva,; Sverkunova, Anna; Oleg, Lashinin,; Ananyeva, Marina; Kolesnikov, Sergey

doi:10.1145/3563359.3596980

Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization 2023

DOI: 10.1145/3563359.3596980

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Make your next item recommendation model time sensitive

Makhneva, Elizaveta

Anna Sverkunova

Lashinin, Oleg³

et al.

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Cited by 2 publications

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1st Workshop on Context Representation in User Modelling

Jeromela,

Barman,

Zaal

et al. 2023

Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

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Context, a critical aspect of personalisation and human-computer interaction, is becoming increasingly significant with the proliferation of user-centric applications. The First ACM Workshop on Context Representation in User Modelling (CRUM 2023), organised in conjunction with the 31st ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2023), provided a venue for research in the representation and utilisation of contextual information in intelligent systems. The workshop aimed to bring together researchers from various disciplines, including natural language processing, user modelling, explainable systems, and human-robot interaction and to facilitate conversation about the role of context in adaptive applications. The prospective authors were invited to submit papers of up to seven pages, four of which were accepted for publication and are introduced in this summary.

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1st Workshop on Context Representation in User Modelling

Jeromela,

Barman,

Zaal

et al. 2023

Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

View full text Add to dashboard Cite

show abstract

Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach

Shi,

Zhang,

Zhang

et al. 2024

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

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Make your next item recommendation model time sensitive

Cited by 2 publications

References 17 publications

1st Workshop on Context Representation in User Modelling

1st Workshop on Context Representation in User Modelling

Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach

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