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NVIDIA Team wins the ACM RecSys Challenge 2020 RS_c from recommender-systems.com
Recently, the advancement of large language models (LLMs) has. Churn task is performed on a subset of active users with at least one product_buy event in history (data available for the participants) Task name: churn; Categories Propensity: Multi-label classification into one of 100 possible labels
NVIDIA Team wins the ACM RecSys Challenge 2020 RS_c EXTENDED ABSTRACT In addition to these guidelines, the guidelines in the main-track call for papers apply for Formatting, Ethical Review for Human-Subjects Research, Originality, Plagiarism, Patenting, Open Access, and. Traditional recommender systems usually focus only on fixed and simple recommendation scenarios, making it difficult to generalize to new and unseen recommendation tasks in an interactive paradigm Recently, the advancement of large language models (LLMs) has.
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