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Status: Unchecked ×Keyword: recommender systems ×Clear all

2 claims from 2 papers

1. Computer Science › Recommender Systems and Techniques

   Uncovering ChatGPT’s Capabilities in Recommender Systems

   Dai, Shao, Zhao et al. · ACM Conference on Recommender Systems (RecSys) · 2023

   The paper tests ChatGPT's recommendation ability from an information retrieval view, using three ranking approaches on four datasets, and also looks at cost, cold start and explanations.

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   1. UncheckedIn experiments on four datasets, ChatGPT ranked items better than other large language models under point-wise, pair-wise and list-wise ranking.“Through extensive experiments on four datasets from different domains, we demonstrate that ChatGPT outperforms other large language models across all three ranking policies.”

2. Computer Science › Constraint Satisfaction and Optimization

   Local techniques in quadratic optimization and Satisfiability, and their applications

   Wang · Summit (Simon Fraser University) · 2014

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   1. Unchecked“Both models show good prediction accuracy on real-life dataset.”