The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation

no code implementations • 12 Apr 2024 • Zekai Qu, Ruobing Xie, Chaojun Xiao, Xingwu Sun, Zhanhui Kang

Sequential recommendation (SR) has seen significant advancements with the help of Pre-trained Language Models (PLMs).

Language Modelling Sequential Recommendation

Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language

no code implementations • 20 Oct 2023 • Zekai Qu, Ruobing Xie, Chaojun Xiao, Yuan YAO, Zhiyuan Liu, Fengzong Lian, Zhanhui Kang, Jie zhou

With the thriving of pre-trained language model (PLM) widely verified in various of NLP tasks, pioneer efforts attempt to explore the possible cooperation of the general textual information in PLM with the personalized behavioral information in user historical behavior sequences to enhance sequential recommendation (SR).

Informativeness Language Modelling +1