GReS: Workshop on graph neural networks for recommendation and search

Thibaut Thonet; Stéphane Clinchant; Carlos Lassance; Elvin Isufi; Jiaqi Ma; Yutong Xie; Jean Michel Renders; Michael Bronstein

doi:10.1145/3460231.3470937

GReS: Workshop on graph neural networks for recommendation and search

Thibaut Thonet, Stéphane Clinchant, Carlos Lassance, Elvin Isufi, Jiaqi Ma, Yutong Xie, Jean Michel Renders, Michael Bronstein

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Graph neural networks (GNNs) have recently gained significant momentum in the recommendation community, demonstrating state-of-the-art performance in top-k recommendation and next-item recommendation. Despite promising results on GNN-based recommendation and search, most of the current GNN research remains essentially concentrated on more traditional tasks such as classification or regression. The GReS workshop on Graph Neural Networks for Recommendation and Search is then a first endeavor to bridge the gap between the RecSys and GNN communities, and promote recommendation and search problems amongst GNN practitioners.

Original language	English
Title of host publication	RecSys 2021 - 15th ACM Conference on Recommender Systems
Publisher	Association for Computing Machinery, Inc
Pages	780-782
Number of pages	3
ISBN (Electronic)	9781450384582
DOIs	https://doi.org/10.1145/3460231.3470937
State	Published - 13 Sep 2021
Externally published	Yes
Event	15th ACM Conference on Recommender Systems, RecSys 2021 - Virtual, Online, Netherlands Duration: 27 Sep 2021 → 1 Oct 2021

Publication series

Name	RecSys 2021 - 15th ACM Conference on Recommender Systems

Conference

Conference	15th ACM Conference on Recommender Systems, RecSys 2021
Country/Territory	Netherlands
City	Virtual, Online
Period	27/09/21 → 1/10/21

Keywords

Graph neural networks
Information retrieval
Recommendation

Access to Document

10.1145/3460231.3470937

Cite this

Thonet, T., Clinchant, S., Lassance, C., Isufi, E., Ma, J., Xie, Y., Renders, J. M., & Bronstein, M. (2021). GReS: Workshop on graph neural networks for recommendation and search. In RecSys 2021 - 15th ACM Conference on Recommender Systems (pp. 780-782). (RecSys 2021 - 15th ACM Conference on Recommender Systems). Association for Computing Machinery, Inc. https://doi.org/10.1145/3460231.3470937

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title = "GReS: Workshop on graph neural networks for recommendation and search",

abstract = "Graph neural networks (GNNs) have recently gained significant momentum in the recommendation community, demonstrating state-of-the-art performance in top-k recommendation and next-item recommendation. Despite promising results on GNN-based recommendation and search, most of the current GNN research remains essentially concentrated on more traditional tasks such as classification or regression. The GReS workshop on Graph Neural Networks for Recommendation and Search is then a first endeavor to bridge the gap between the RecSys and GNN communities, and promote recommendation and search problems amongst GNN practitioners.",

keywords = "Graph neural networks, Information retrieval, Recommendation",

author = "Thibaut Thonet and St{\'e}phane Clinchant and Carlos Lassance and Elvin Isufi and Jiaqi Ma and Yutong Xie and Renders, \{Jean Michel\} and Michael Bronstein",

note = "Publisher Copyright: {\textcopyright} 2021 Owner/Author.; 15th ACM Conference on Recommender Systems, RecSys 2021 ; Conference date: 27-09-2021 Through 01-10-2021",

year = "2021",

month = sep,

day = "13",

doi = "10.1145/3460231.3470937",

language = "אנגלית",

series = "RecSys 2021 - 15th ACM Conference on Recommender Systems",

publisher = "Association for Computing Machinery, Inc",

pages = "780--782",

booktitle = "RecSys 2021 - 15th ACM Conference on Recommender Systems",

}

Thonet, T, Clinchant, S, Lassance, C, Isufi, E, Ma, J, Xie, Y, Renders, JM & Bronstein, M 2021, GReS: Workshop on graph neural networks for recommendation and search. in RecSys 2021 - 15th ACM Conference on Recommender Systems. RecSys 2021 - 15th ACM Conference on Recommender Systems, Association for Computing Machinery, Inc, pp. 780-782, 15th ACM Conference on Recommender Systems, RecSys 2021, Virtual, Online, Netherlands, 27/09/21. https://doi.org/10.1145/3460231.3470937

GReS: Workshop on graph neural networks for recommendation and search. / Thonet, Thibaut; Clinchant, Stéphane; Lassance, Carlos et al.
RecSys 2021 - 15th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, 2021. p. 780-782 (RecSys 2021 - 15th ACM Conference on Recommender Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ma, Jiaqi

AU - Xie, Yutong

AU - Renders, Jean Michel

AU - Bronstein, Michael

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AB - Graph neural networks (GNNs) have recently gained significant momentum in the recommendation community, demonstrating state-of-the-art performance in top-k recommendation and next-item recommendation. Despite promising results on GNN-based recommendation and search, most of the current GNN research remains essentially concentrated on more traditional tasks such as classification or regression. The GReS workshop on Graph Neural Networks for Recommendation and Search is then a first endeavor to bridge the gap between the RecSys and GNN communities, and promote recommendation and search problems amongst GNN practitioners.

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KW - Information retrieval

KW - Recommendation

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GReS: Workshop on graph neural networks for recommendation and search

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Keywords

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