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Kyuyong Shin

2 accepted papers

2023

Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning

ACL 2023long

Recent studies have proposed unified user modeling frameworks that leverage user behavior data from various applications. Many of them benefit from utilizing users’ behavior sequences as plain texts, representing rich information in any domain or system without losing generality. Hence, a question a…

Cited by 5SourcePDFScholar
2023

Scaling Law for Recommendation Models: Towards General-Purpose User Representations

AAAI 2023technical

Recent advancement of large-scale pretrained models such as BERT, GPT-3, CLIP, and Gopher, has shown astonishing achievements across various task domains. Unlike vision recognition and language models, studies on general-purpose user representation at scale still remain underexplored. Here we explor…

Cited by 40SourcePDFScholar