Accurate multi-behavior sequence-aware recommendation via graph convolution networks.

Accurate multi-behavior sequence-aware recommendation via graph convolution networks.

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How can we recommend items to users utilizing multiple types of user behavior data? Multi-behavior recommender systems leverage various types of user behavior data to enhance recommendation performance for the target behavior. These systems aim to provide personalized recommendations, thereby improv...

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Bibliographic Details
Main Authors:	Doyeon Kim, Saurav Tanwar, U Kang
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2025-01-01
Series:	PLoS ONE
Online Access:	https://doi.org/10.1371/journal.pone.0314282
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