Latest Articles for E-commerce

Learn how LLMs enhance recommender systems in various fields.

A new approach improves search accuracy by focusing on attributes and user intents.

Improving how we find and connect with communities online.

A new method enhances recommendations by combining user IDs and text insights.

This study enhances e-commerce applications using fine-tuned language models and a dedicated dataset.

HyperPAVE enhances product descriptions without needing labeled data, revolutionizing online shopping.

New methods improve the speed and accuracy of recommendation systems.

A new framework enhances personalized suggestions by focusing on confidence levels.

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

Explore how reference pricing shapes dynamic pricing strategies in online markets.

An analysis of recommender systems and how to improve their effectiveness.

A new system enhances product recommendations using user data and expert insights.

Automating taxonomy expansion using advanced language models for better knowledge organization.

A new method ensures fair exposure of items in recommendation systems.

A new method enhances opinion summarization using domain knowledge in reward models.

Text2Pic Swift improves image searches using text descriptions efficiently.

Drones revolutionize last-mile delivery, enhancing speed and efficiency.

This method enhances user engagement through dynamic personalized recommendations.

A new technique enhances accuracy in recommendation systems by refining predictions.

Exploring the latest methods in human shape and clothing technology.

New methods ensure safety for buyers and sellers in online markets.

A new approach enhances product search relevance in e-commerce using advanced models.

OOTDiffusion enhances online shopping with realistic virtual clothing try-ons.

A structured approach to enhance document retrieval based on specific themes.

A new approach to enhance recommendation systems by improving accuracy and diversity.

A look at federated learning and its impact on business decision-making.

Strategies to optimize inventory placement for better order fulfillment in e-commerce.

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

New approach enhances recommendations for limited-stock items in C2C platforms.

Using data models to enhance B2B customer purchasing predictions.

Examining the role of data augmentation versus contrastive learning in recommendations.

New methods enhance efficiency in recommendation systems by addressing data sparsity.

A new method improves recommendation systems by aligning various types of data.

SV3D creates stunning 3D visuals from single 2D images.

A look into a new system for better online shopping experiences.

ACDG-VTON improves online clothes fitting with accurate image generation.

Slipstream speeds up recommendation models by skipping unnecessary updates.

New framework improves video searches by combining visuals and detailed language descriptions.

A new method improves how models identify relationships in images.

A look at how Multi-Modal Sequential Recommendation enhances user suggestions.