Latest Articles for E-commerce

MatchXML improves text classification efficiency in handling millions of labels.

A new system for virtual try-on technology that improves online shopping.

A new model enhances recommendations by focusing on user and item text descriptions.

A new framework enhances transparency and effectiveness in recommender systems.

A new approach enhances food ordering suggestions using user behavior data.

Assessing methods for finding similar fashion items in online shopping.

A method to improve recommendations by combining different types of information.

Learn how objective explanations can enhance recommendations in various domains.

This method improves recommendations by linking user preferences across different domains.

A new model enhances recommendations by analyzing diverse user behaviors.

CERP optimizes memory use in recommendation systems without losing accuracy.

A study on improving fairness in online recommendations for better user experiences.

Explore the importance of security measures in recommender systems.

A new method improves product recommendations using both visual and textual information.

Multimedia recommendation systems help users find tailored content in a digital world.

Introducing a method that enhances online fashion shopping using open-source data.

A new method for secure online transactions using quantum technology to protect buyers and sellers.

This research addresses fairness in recommendations, enhancing visibility of cold items.

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

D-Train offers a straightforward approach to multi-domain learning challenges.

A new framework improves the accuracy of online shopping recommendations.

A new method improves logistics hub placement for efficient deliveries in Lahore.

Enhancing user engagement through smart widget ranking strategies.

A new method enhances recommendations by combining images, text, and prices effectively.

Examining how drones and trucks reshape delivery methods for efficiency.

An overview of how app stores influence software creation and distribution.

Introducing HINITE, a method for accurately estimating treatment effects in complex scenarios.

A study reveals hidden networks of illegal cryptocurrency transactions.

A new dataset for improving e-commerce image and text recognition.

A look at cookie policies and their effects on user privacy.

Introducing alternatives can enhance user satisfaction in fashion recommendation systems.

A new model helps enhance recommendations by addressing noisy user feedback.

CG4CTR transforms online advertising by focusing on user preferences for better engagement.

A new framework improves recommendation systems through a scalable knowledge base.

This article presents a simpler way to render fabric details effectively.

New tech helps users visualize products in their own spaces before buying.

Explores the Neural Pattern Associator for smarter shopping suggestions.

A new system that enhances recommendations through engaging conversations and real-time user feedback.

A new model uses diffusion techniques to improve recommendations for new users.

A framework to improve user recommendations by blending familiarity with new options.