18157854. PRODUCT DESCRIPTION AUGMENTATION simplified abstract (Adobe Inc.)
Contents
PRODUCT DESCRIPTION AUGMENTATION
Organization Name
Inventor(s)
Michele Saad of Austin TX (US)
PRODUCT DESCRIPTION AUGMENTATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18157854 titled 'PRODUCT DESCRIPTION AUGMENTATION
- Simplified Explanation:**
The patent application describes systems and methods for enhancing product descriptions using machine learning. By analyzing product reviews, identifying attributes, and generating augmented descriptions, the technology aims to improve product information.
- Key Features and Innovation:**
- Attribute inference component performs semantic analysis of product reviews.
- Delta component computes the difference between review data and product descriptions.
- Generative machine learning model creates augmented product descriptions based on the differences.
- Potential Applications:**
This technology can be applied in e-commerce platforms, online marketplaces, and product recommendation systems to enhance product descriptions and improve user experience.
- Problems Solved:**
The technology addresses the challenge of accurately describing products by leveraging user-generated content and machine learning to provide more detailed and informative descriptions.
- Benefits:**
- Enhanced product descriptions lead to better-informed purchasing decisions.
- Improved user experience on e-commerce platforms.
- Increased customer satisfaction and loyalty.
- Commercial Applications:**
- "Enhancing Product Descriptions Using Machine Learning Technology: Market Implications and Commercial Uses"
- Prior Art:**
Researchers can explore prior art related to natural language processing, machine learning, and e-commerce product description technologies to understand the existing landscape.
- Frequently Updated Research:**
Stay updated on advancements in natural language processing, machine learning, and e-commerce technologies to enhance the effectiveness of product description augmentation systems.
- Questions about Product Description Augmentation:**
1. How does the technology differentiate between various attributes in product reviews? 2. What are the potential challenges in implementing this technology in different e-commerce platforms?
Original Abstract Submitted
Systems and methods for product description augmentation are provided. According to one aspect, a method for product augmentation includes performing, by an attribute inference component, a semantic analysis of a product review for a product to obtain review data including an attribute of the product; computing, by a delta component, a difference between the review data and a product description for the product, wherein the difference includes the attribute; and generating, by a generative machine learning model, an augmented product description for the product based on the difference, wherein the augmented product description describes the attribute.
