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RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation

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Published in:ArXiv cs.IR Recent Papers
Format: Online Article RSS Article
Published: 2026
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spellingShingle RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation
ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
sub_discipline_display Library Science
sub_discipline_facet Library Science
subject_display ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
subject_facet ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
title RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation
title_auth RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation
title_full RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation
title_fullStr RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation
title_full_unstemmed RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation
title_short RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation
title_sort recgpt-mobile: on-device large language models for user intent understanding in taobao feed recommendation
topic ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
url https://arxiv.org/abs/2605.04726v1