Recommendation


Recommendation is the task of providing personalized suggestions to users based on their preferences and behavior.

Prioritizing Alignment Paradigms over Task-Specific Model Customization in Time-Series LLMs

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Jun 13, 2025
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A Collaborative Process Parameter Recommender System for Fleets of Networked Manufacturing Machines -- with Application to 3D Printing

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Jun 13, 2025
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Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems

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Jun 13, 2025
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Predicting Early-Onset Colorectal Cancer with Large Language Models

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Jun 13, 2025
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LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture

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Jun 12, 2025
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Context-Adaptive Graph Neural Networks for Next POI Recommendation

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Jun 12, 2025
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Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning

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Jun 12, 2025
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Automated Validation of Textual Constraints Against AutomationML via LLMs and SHACL

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Jun 12, 2025
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Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation

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Jun 12, 2025
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Course Project Report: Comparing MCMC and Variational Inference for Bayesian Probabilistic Matrix Factorization on the MovieLens Dataset

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Jun 12, 2025
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