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<title>Channels - PPA++: Preference Prototype-Aware Learning with Large Language Model for Universal Cross-Domain Recommendation :: FRELIP Discovery
Channels PPA++: Preference Prototype-Aware Learning with Large Language Model for Universal Cross-Domain Recommendation
CDGRS-LOD model: leveraging linked open data in collaborative cross-domain group recommender system
HUMP: Highlighted Users’ Modality Preference for Multi-modal Recommender Systems
Deep multi-task learning: a review of concepts, methods, and cross-domain applications
Sign-aware Recommendation Based on Virtual Semantic Knowledge Graph
Large language models for generative recommendation: a systematic review of data-centric taxonomy, evaluation, and human-centric analytics
Fusion of pre-trained model features with style-aware attention for enhanced content-based recommendation system
Hierarchical growth self-generating prototype: an information entropy-based approach for dataset reduction
Exploratory analysis of logical and intuitive reasoning in large language models
Biomedical text summarization with large language models: methodologies, challenges, and future directions
Leveraging large language models for document classification in the banking sector
Dual-triangular Recommender System
Sparse Gradient Training for Recommender Systems
On-Device Recommender Systems: A Comprehensive Survey
Hybrid recommendation framework: integrating behavioral clustering, network centrality, and advanced deep learning models
Enhancing large language models for scientific entity recognition via fully automated self-distillation
WALDEN: Workload-Aware Learned Tree Index
A comprehensive survey on multi-behavior recommender systems: extended taxonomy and recent advances
Big Data and the Emerging Role of Libraries
An empirical evaluation of clustering processes for early detection of university dropout
Uncertainty-aware synthetic data generation: a systematic review of methods and challenges
Current English–Chinese legal language mutual translation based on the comparison of the three theoretical levels of words, sentences, and articles
A systematic review of plant leaf disease detection and classification using machine learning and deep learning techniques
Lazy lossless compression by symbol lookahead invalidation in universal adaptive stream-based entropy coding
Data-driven analysis and prediction of traffic accident dynamics using spatiotemporal modeling and optimized machine learning techniques
