We propose SeeDRec, a sememe-based diffusion framework for sequential recommendation (SR). Specifically, inspired by the notion of sememe in NLP.

In this section, we elaborate on the proposed model-agnostic. Sememe-based Diffusion for sequential recommendation, which utilizes the DM on sememes to explore ...

Aug 3, 2024 · With the Sememe-to-Interest Diffusion Model (S2IDM), SeeDRec can accurately capture the user's diffused interest distribution learned from both ...

SeeDRec: Sememe-based Diffusion for Sequential Recommendation Haokai Ma, Ruobing Xie*, Lei Meng*, Yimeng Yang, Xingwu Sun & Zhanhui Kang The 33rd ...

Seedrec: sememe-based diffusion for sequential recommendation. H Ma, R Xie, L Meng, Y Yang, X Sun, Z Kang. Proceedings of IJCAI, 1-9, 2024. 2, 2024. VAFA: A ...

SeeDRec: Sememe-based Diffusion for Sequential Recommendation. The 33th International Joint Conference on Artificial Intelligence (IJCAI'24). Ruobing Xie ...

May 15, 2024 · We propose the Context-aware Diffusion-based Contrastive Learning for Sequential Recommendation, named CaDiRec. The core idea is to leverage context ...

2024. TLDR. SeeDRec, a sememe-based diffusion framework for sequential recommendation (SR) inspired by the notion of sememe in NLP, first defines a similar ...

Sep 22, 2023 · To validate the proposed DiffuASR, we conduct extensive experiments on three real-world datasets with three sequential recommendation models.

SeeDRec, a sememe-based diffusion framework for sequential recommendation (SR) inspired by the notion of sememe in NLP, first defines a similar concept of ...