Large language models meet collaborative filtering: an efficient all-round LLM-based recommender system
Collaborative filtering recommender systems (CF-RecSys) have shown successive results in
enhancing the user experience on social media and e-commerce platforms. However, as CF …
enhancing the user experience on social media and e-commerce platforms. However, as CF …
Recent Advances of Foundation Language Models-based Continual Learning: A Survey
Recently, foundation language models (LMs) have marked significant achievements in the
domains of natural language processing (NLP) and computer vision (CV). Unlike traditional …
domains of natural language processing (NLP) and computer vision (CV). Unlike traditional …
User Modeling and User Profiling: A Comprehensive Survey
The integration of artificial intelligence (AI) into daily life, particularly through information
retrieval and recommender systems, has necessitated advanced user modeling and …
retrieval and recommender systems, has necessitated advanced user modeling and …
[PDF][PDF] Learning Dual-Layer User Representation for Enhanced Item Recommendation.
F Zhu, J Xie, M Alshahrani - Computers, Materials & Continua, 2024 - cdn.techscience.cn
User representation learning is crucial for capturing different user preferences, but it is also
critical challenging because user intentions are latent and dispersed in complex and …
critical challenging because user intentions are latent and dispersed in complex and …
Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends
The presented tutorial aims to serve as a comprehensive roadmap for the UMAP community
into the current user modeling research, focusing on the paradigm shifts that have …
into the current user modeling research, focusing on the paradigm shifts that have …