Latest Articles for Recommendations

A new method improves patient care by merging clinical and digital data.

A novel method for recommending APIs during library migration using knowledge graph embedding.

This article discusses enhancing recommendation systems by using user negative feedback.

New methods enhance user recommendations by stabilizing feedback and learning across tasks.

A new framework enhances transparency and effectiveness in recommender systems.

Learn how objective explanations can enhance recommendations in various domains.

HQ-GNN enhances recommendations while reducing memory and increasing speed.

CERP optimizes memory use in recommendation systems without losing accuracy.

A new architecture aimed at enhancing fairness in recommendation processes.

A new model enhances search and recommendations for users with limited data.

This article examines how AI can assist in diagnosing sepsis more effectively.

Learn how LLMs enhance sequential recommendation systems for better user suggestions.

Deep Mutual Learning enhances recommendations by better sharing information across tasks.

Novelty and diversity in research paper recommendations can foster interdisciplinary collaboration.

Learn how understanding student performance causes can improve educational support.

Current CPR guidelines lack strong evidence; urgent research needed to save lives.

This research examines how ChatGPT enhances recommendation systems using user feedback.

Optimizing term selection enhances personalized recommendations in information retrieval.

A study on improving publication venue suggestions for academic papers using clustering techniques.

Examining the fairness of recommendations made by algorithms after negative outcomes.

A new method for more accurate recommendations by focusing on item-level characteristics.

A new method balances fairness for consumers and producers in recommendations.

A new method enhances article suggestions with user behavior insights.

A look at the need for fairness and clear explanations in AI systems.

ChatDiet combines personal data and population knowledge for better food advice.

A new system learns user preferences in real-time to suggest clothing.

A new method enhances personalized decision-making in machine learning systems.

A look at the challenges and solutions for preconception health inequalities in the UK.

A method to improve product recommendations in online shopping through better data use.

Examining the differences between expert and everyday wine ratings.

A dataset for improving news recommendations in multiple languages.

EulerFormer combines semantic and positional information for better user behavior predictions.

DiffGT improves recommendations by reducing noise and understanding user preferences more effectively.

Examining how YouTube's recommendations impact perceptions of abortion.

A new framework offers better recommendations for all user interests.

New framework aims to enhance drug dosage recommendations during pregnancy.

A fine-grained method to enhance online shopping recommendations based on user feedback.

A new framework for enhancing recommendations without prior data.

CALRec framework enhances recommendations using Large Language Models and sequential data.

A guide to measuring and managing cyber risks effectively.