13 citations · 22 across the 8 of their papers we have counts for
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cs.IR2024
Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges
Lemei Zhang, Peng Liu, Yashar Deldjoo +2
The emergence of Large Language Models (LLMs) has achieved tremendous success in the field of Natural Language Processing owing to diverse training paradigms that empower LLMs to e…
cs.IR2023★ 9 cited
Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems
Peng Liu, Lemei Zhang, Jon Atle Gulla
The emergence of Pre-trained Language Models (PLMs) has achieved tremendous success in the field of Natural Language Processing (NLP) by learning universal representations on large…
cs.IR2022★ 13 cited
Recommending on graphs: a comprehensive review from a data perspective
Lemei Zhang, Peng Liu, Jon Atle Gulla
Recent advances in graph-based learning approaches have demonstrated their effectiveness in modelling users' preferences and items' characteristics for Recommender Systems (RSS). M…