ملف الباحث

Fahim Tasneema Azad

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Improving the Text Convolution Mechanism with Large Language Model for Review-Based Recommendation

    2024

    Recent studies in recommender systems focus on addressing data sparsity and cold-start problems by utilizing side information, such as tags, images, and testimonials. Among these, user-written testimonials (purchase reviews) are precious for analyzing personal preferences, …