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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 28 / No. 1: Twenty-Eighth AAAI Conference On Artificial Intelligence

Deep Modeling of Group Preferences for Group-Based Recommendation

March 8, 2023

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Authors

Liang Hu

Shanghai Jiaotong University


Jian Cao

Shanghai Jiaotong University


Guandong Xu

University of Technology Sydney


Longbing Cao

University of Technology Sydney


Zhiping Gu

Shanghai Technical Institute of Electronics & Information


Wei Cao

University of Technology Sydney


DOI:

10.1609/aaai.v28i1.9007


Abstract:

Nowadays, most recommender systems (RSs) mainly aim to suggest appropriate items for individuals. Due to the social nature of human beings, group activities have become an integral part of our daily life, thus motivating the study on group RS (GRS). However, most existing methods used by GRS make recommendations through aggregating individual ratings or individual predictive results rather than considering the collective features that govern user choices made within a group. As a result, such methods are heavily sensitive to data, hence they often fail to learn group preferences when the data are slightly inconsistent with predefined aggregation assumptions. To this end, we devise a novel GRS approach which accommodates both individual choices and group decisions in a joint model. More specifically, we propose a deep-architecture model built with collective deep belief networks and dual-wing restricted Boltzmann machines. With such a deep model, we can use high-level features, which are induced from lower-level features, to represent group preference so as to relieve the vulnerability of data. Finally, the experiments conducted on a real-world dataset prove the superiority of our deep model over other state-of-the-art methods.

Topics: AAAI

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HOW TO CITE:

Liang Hu|| Jian Cao|| Guandong Xu|| Longbing Cao|| Zhiping Gu|| Wei Cao Deep Modeling of Group Preferences for Group-Based Recommendation Proceedings of the AAAI Conference on Artificial Intelligence, 28 (2014) .

Liang Hu|| Jian Cao|| Guandong Xu|| Longbing Cao|| Zhiping Gu|| Wei Cao Deep Modeling of Group Preferences for Group-Based Recommendation AAAI 2014, .

Liang Hu|| Jian Cao|| Guandong Xu|| Longbing Cao|| Zhiping Gu|| Wei Cao (2014). Deep Modeling of Group Preferences for Group-Based Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence, 28, .

Liang Hu|| Jian Cao|| Guandong Xu|| Longbing Cao|| Zhiping Gu|| Wei Cao. Deep Modeling of Group Preferences for Group-Based Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence, 28 2014 p..

Liang Hu|| Jian Cao|| Guandong Xu|| Longbing Cao|| Zhiping Gu|| Wei Cao. 2014. Deep Modeling of Group Preferences for Group-Based Recommendation. "Proceedings of the AAAI Conference on Artificial Intelligence, 28". .

Liang Hu|| Jian Cao|| Guandong Xu|| Longbing Cao|| Zhiping Gu|| Wei Cao. (2014) "Deep Modeling of Group Preferences for Group-Based Recommendation", Proceedings of the AAAI Conference on Artificial Intelligence, 28, p.

Liang Hu|| Jian Cao|| Guandong Xu|| Longbing Cao|| Zhiping Gu|| Wei Cao, "Deep Modeling of Group Preferences for Group-Based Recommendation", AAAI, p., 2014.

Liang Hu|| Jian Cao|| Guandong Xu|| Longbing Cao|| Zhiping Gu|| Wei Cao. "Deep Modeling of Group Preferences for Group-Based Recommendation". Proceedings of the AAAI Conference on Artificial Intelligence, 28, 2014, p..

Liang Hu|| Jian Cao|| Guandong Xu|| Longbing Cao|| Zhiping Gu|| Wei Cao. "Deep Modeling of Group Preferences for Group-Based Recommendation". Proceedings of the AAAI Conference on Artificial Intelligence, 28, (2014): .

Liang Hu|| Jian Cao|| Guandong Xu|| Longbing Cao|| Zhiping Gu|| Wei Cao. Deep Modeling of Group Preferences for Group-Based Recommendation. AAAI[Internet]. 2014[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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101, Palo Alto, California 94303 All Rights Reserved

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