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STLLM-Rec: enhancing explainable recommendation via self-training LLMs

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Published in:World Wide Web
Format: Online Article RSS Article
Published: 2026
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container_title World Wide Web
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
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institution FRELIP
journal_source_facet World Wide Web
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle STLLM-Rec: enhancing explainable recommendation via self-training LLMs
Internet
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Internet
Technology & Engineering — Computing
Technology & Engineering
Internet
Technology & Engineering — Computing
Technology & Engineering
subject_facet Internet
Technology & Engineering — Computing
Technology & Engineering
title STLLM-Rec: enhancing explainable recommendation via self-training LLMs
title_auth STLLM-Rec: enhancing explainable recommendation via self-training LLMs
title_full STLLM-Rec: enhancing explainable recommendation via self-training LLMs
title_fullStr STLLM-Rec: enhancing explainable recommendation via self-training LLMs
title_full_unstemmed STLLM-Rec: enhancing explainable recommendation via self-training LLMs
title_short STLLM-Rec: enhancing explainable recommendation via self-training LLMs
title_sort stllm-rec: enhancing explainable recommendation via self-training llms
topic Internet
Technology & Engineering — Computing
Technology & Engineering
url https://link.springer.com/article/10.1007/s11280-025-01397-1