17821639. ITEM PROFILE ATTRIBUTE SYSTEM simplified abstract (International Business Machines Corporation)
Contents
ITEM PROFILE ATTRIBUTE SYSTEM
Organization Name
International Business Machines Corporation
Inventor(s)
Raghuveer Prasad Nagar of Kota (IN)
Gaurav Mahesh Pandit of Puntamaba (IN)
Harshit Sharma of Hathras (IN)
Smitha Majur of Bengaluru (IN)
ITEM PROFILE ATTRIBUTE SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 17821639 titled 'ITEM PROFILE ATTRIBUTE SYSTEM
Simplified Explanation
The abstract describes a computer system that recommends item attributes to sellers based on interactions with potential buyers on an item transaction platform.
- The computer system determines item attributes in an item profile for an item being sold.
- It identifies interactions between the seller and potential buyers regarding the item.
- Based on these interactions, the system determines missing item attributes in the item profile.
- It recommends actions to the seller to address these missing attributes.
- The system performs these actions in response to input from the seller.
Potential Applications
- E-commerce platforms
- Online marketplaces
- Retail websites
Problems Solved
- Improving item listings
- Enhancing user experience
- Increasing sales conversion rates
Benefits
- More accurate item descriptions
- Better communication between sellers and buyers
- Higher customer satisfaction levels
Original Abstract Submitted
A computer implemented method, apparatus, system, and computer program product for recommending item attributes. A computer system determines the item attributes in an item profile for an item offered by a seller on an item transaction platform. The computer system identifies interactions between the seller and a potential buyer regarding the item. The computer system determines a set of missing item attributes from the item profile based on the interactions between the seller and the potential buyer. The computer system recommends a set of actions for the set of missing item attributes identified to a seller of the item in a recommendation. The computer system performs a set of actions in the recommendation using the set of missing item attributes in response to a user input from the seller responding to the recommendation.