18424210. METHOD AND SYSTEM FOR ARTIFICIAL INTELLIGENCE-BASED GENERATION OF TRAVEL AND DINING REVIEWS simplified abstract (JPMorgan Chase Bank, N.A.)

METHOD AND SYSTEM FOR ARTIFICIAL INTELLIGENCE-BASED GENERATION OF TRAVEL AND DINING REVIEWS

Organization Name

JPMorgan Chase Bank, N.A.

Inventor(s)

Christopher Stang of Malibu CA (US)

Jessica Staddon of Redwood City CA (US)

Jonathan Lalima of Manalapan NJ (US)

Hillary Reinsberg of Brooklyn NY (US)

Janko Bazhdavela of Mamaroneck NY (US)

Ricardo Mela of Hartsdale NY (US)

Vineeth Ravi of Jersey City NJ (US)

Simran Lamba of Manhattan NY (US)

Katie Hainsey of New York NY (US)

Kevin Bichoupan of Great Neck NY (US)

Allison Beer of Bronxville NY (US)

METHOD AND SYSTEM FOR ARTIFICIAL INTELLIGENCE-BASED GENERATION OF TRAVEL AND DINING REVIEWS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18424210 titled 'METHOD AND SYSTEM FOR ARTIFICIAL INTELLIGENCE-BASED GENERATION OF TRAVEL AND DINING REVIEWS

The abstract describes systems and methods for using artificial intelligence to automatically generate travel and dining reviews. The method involves receiving a request for a review, applying an AI algorithm to generate the review, and outputting the review of the entity, which could be a restaurant or hotel.

• AI-based technique for automatic generation of travel and dining reviews
• Request for a review of a service entity
• Application of AI algorithm to generate the review
• Outputting the review of the entity
• Entity provides travel-related or dining-related services
• AI algorithm may use a large language model and be trained for a Zagat review style and tone

Potential Applications: - Online review platforms - Travel and dining websites - AI-powered recommendation systems

Problems Solved: - Time-consuming manual review writing - Ensuring consistent review quality - Meeting user demand for reviews

Benefits: - Efficient review generation - Consistent review style and tone - Enhanced user experience

Commercial Applications: Title: AI-Powered Automatic Review Generation for Travel and Dining This technology can be used in online review platforms, travel and dining websites, and AI-powered recommendation systems to streamline the review generation process and improve user experience.

Questions about AI-Powered Automatic Review Generation for Travel and Dining: 1. How does the AI algorithm ensure the review has a style and tone similar to a Zagat review? The AI algorithm may be trained specifically to mimic the style and tone of a Zagat review, ensuring consistency in the generated reviews.

2. What are the potential challenges in implementing this technology on a large scale? Implementing this technology on a large scale may require significant computational resources and data processing capabilities to handle a high volume of review requests.

Original Abstract Submitted

Systems and methods for using an artificial intelligence-based technique for automatic generation of travel and dining reviews are provided. The method includes: receiving a request for a review of an entity that provides a service to a user; applying a first artificial intelligence (AI) algorithm to the received request in order to generate the review of the entity; and outputting the review of the entity. The entity provides either or both of a travel-related service and a dining-related service, and as such, the entity may include a restaurant or a hotel. The AI algorithm may use a large language model and/or may be trained such that the review has a style and a tone of a Zagat review.