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A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions.

, , , , , , , , , , and . Trans. Recomm. Syst., 1 (1): 1-51 (March 2023)

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Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design., , , , , , and . CoRR, (2022)Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions., , , , , , , , , and 1 other author(s). CoRR, (2021)Learning from Home: A Mixed-Methods Analysis of Live Streaming Based Remote Education Experience in Chinese Colleges during the COVID-19 Pandemic., , , , , , , and . CHI, page 348:1-348:16. ACM, (2021)Bringing Friends into the Loop of Recommender Systems: An Exploratory Study., , , , , , and . Proc. ACM Hum. Comput. Interact., 5 (CSCW2): 439:1-439:26 (2021)A Mixed-Methods Analysis of the Algorithm-Mediated Labor of Online Food Deliverers in China., , , , and . CoRR, (2022)S3: Social-network Simulation System with Large Language Model-Empowered Agents., , , , , , , and . CoRR, (2023)Predicting Customer Value with Social Relationships via Motif-based Graph Attention Networks., , , , and . WWW, page 3146-3157. ACM / IW3C2, (2021)A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions., , , , , , , , , and 1 other author(s). Trans. Recomm. Syst., 1 (1): 1-51 (March 2023)An Exploratory Study of Information Cocoon on Short-form Video Platform., , , , , , , and . CIKM, page 4178-4182. ACM, (2022)