FIELD NOTES TOPIC

e-commerce

4 notes, newest first.

  1. AI-PAVE-Br: Leveraging Large Language Models for Enhanced Product Attribute Value Extraction through a Golden Set Approach

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    The paper presents AI-PAVEBr, a system that uses large language models to extract product attribute values from Brazilian e-commerce catalogs. It also introduces the Golden Set, a new dataset in Portuguese for product…

  2. Paying to Know: Micro-Transaction Markets for Verified Product Information in Agentic E-Commerce

    Source note ·

    The authors propose a new model for e-commerce where buyers use micro-payments to access detailed, verified information about products from sellers and reviewers. This model is designed for autonomous agent shoppers…

  3. Paying to Know: Micro-Transaction Markets for Verified Product Information in Agentic E-Commerce

    Source note ·

    The authors propose a new approach for e-commerce where buyers can pay small amounts of money to access detailed, verified product information through micro-transaction markets. This system aims to reward genuine…

  4. Paying to Know: Micro-Transaction Markets for Verified Product Information in Agentic E-Commerce

    Source note ·

    The authors propose a new model for e-commerce where buyers pay small amounts of money to access detailed, verified information about products through the use of agent-native micro-payment rails. This model is designed…