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Why is it important?
This work shows how LLMs can be leveraged to uncover interesting insights into user behavior for a recommendation product. We demonstrate how we use LLMs to not only quantitatively evaluate the recommendation quality on our product but also understand product shift at a granular level through defining recommendation scenarios.
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This page is a summary of: Analyzing User Preferences and Quality Improvement on Bing's WebPage Recommendation Experience with Large Language Models, October 2024, ACM (Association for Computing Machinery),
DOI: 10.1145/3640457.3688062.
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