Latest Articles for E-commerce

A new method to digitize soft objects without damage using wearable technology.

Discover how intent-awareness shapes modern recommendation systems for better user experiences.

A new framework improves user recommendations through better data processing.

A new model enhances recommendation systems by analyzing user search intentions.

Researchers enhance graph understanding through learned distances and node features.

Exploring three approaches for identifying product attributes and values in e-commerce.

A new method combines ads and answers to enhance online search.

This method improves image search by combining images and text effectively.

Integrating question-answering systems enhances the online shopping experience.

NOVIC introduces open vocabulary capabilities for identifying unseen objects in images.

Enhancing online user experiences through effective behavior analysis.

InsertDiffusion streamlines the process of placing objects in realistic settings.

InferAct improves decision-making safety for AI agents in various tasks.

A new system for personalized online clothing experiences.

A study on optimizing delivery time slots and pricing for increased customer satisfaction.

A new method for managing delivery time slots enhances customer satisfaction and reduces costs.

Learn effective methods for fine-tuning large language models with less data and lower costs.

A new method predicts product sales during busy events using proxy data.

Introducing YEAST, a flexible method for effective online experiment monitoring.

This study analyzes how platforms promote their own products in search results.

Exploring the increase of low-value transactions in international trade, especially in Spain.

CatVTON simplifies virtual try-on technology for better online shopping.

An overview of matching buyers and sellers in uncertain conditions.

A tool that converts RDF data into usable formats for machine learning.

A novel approach to enhance predictions in dynamic graphs using Transformers.

Exploring how multimodal data enhances product recommendations on Taobao.

Graphite offers efficient and relevant keyphrase recommendations for online sellers.

A new web-based method improves 3D image quality.

UGT model improves product recommendations by combining various data types effectively.

New training methods enhance LLMs for better online product suggestions.

A look at the Multi-Scenario Nearline Retrieval framework for better product suggestions.

StarCache improves data access speed and efficiency in modern networks.

A new method for detecting anomalies in temporal knowledge graphs.

A new method enhances scene text retrieval beyond traditional systems.

A dual graph model enhances video retrieval in online shopping.

A new method improves recommendation systems by balancing user preferences over time.

A new method enhances product searches across different media formats.

Utilizing LLMs to enhance e-commerce tasks through instruction tuning and quantization.

This paper presents a new framework for enhancing recommender systems using LLMs.

A new approach improves accuracy in online recommendations during user sessions.