Latest Articles for Recommendations

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.

This study enhances recommendation systems by analyzing varied user interaction methods.

This article discusses the impact of LLMs on e-commerce fairness.

A new method enhances movie recommendations by assessing uncertainty in group preferences.

A new method improves voter decision-making through adaptive questionnaires.

A new method tackles the cold-start issue in recommendation systems.

A new app enriches discussions about metrics for better insights.

Exploring the complexities of aligning AI systems with diverse human interests.

A new approach to enhance user recommendations in online platforms.

Study reveals biases in AI hiring recommendations based on candidate names.

New guidelines aim to strengthen hand hygiene practices globally.

A concise overview of equity research reports and their significance in investing.

RAMO improves personalized course suggestions for online learners, especially new users.

Combining Content-based Filtering and Graph-based methods improves academic paper recommendations.

This study assesses the effectiveness of graph explanations in AI recommender systems.

OPAL offers personalized video suggestions based on user interests.

A new method improves news diversity and accuracy through better recommendations.

RevGNN improves the academic reviewer recommendation process using advanced data techniques.

A new approach lowers memory needs while keeping recommendations relevant.

A study examines how blind individuals interact with object recognition technology.

Exploring the appeal of Reddit for seeking personalized recommendations.

CoRA enhances recommendation systems by integrating collaborative features into language models.

AI nudges enhance pharmacy operations and patient care.

Exploring fairness in personalized recommendations using graph neural networks.

SayRea provides tailored service suggestions based on user context and needs.

A method that updates paper recommendations based on citation timing.

A study on enhancing navigational recommendations for better urban driving experiences.

A new framework enhances social media data analysis for better user insights.

HierLLM improves question recommendations for personalized student learning.

A new method helps users explore diverse interests through friends' preferences.