18045619. CONTINUOUS GRANULAR REVIEWS AND RATINGS simplified abstract (International Business Machines Corporation)
Contents
- 1 CONTINUOUS GRANULAR REVIEWS AND RATINGS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 CONTINUOUS GRANULAR REVIEWS AND RATINGS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
CONTINUOUS GRANULAR REVIEWS AND RATINGS
Organization Name
International Business Machines Corporation
Inventor(s)
Pavan Kumar Penugonda of Anakapalle (IN)
Saraswathi Sailaja Perumalla of Visakhapatnam (IN)
Venkata Ratnam Alubelli of Visakhapatnam (IN)
Avinash Reddy Devireddy of Hyderabad (IN)
CONTINUOUS GRANULAR REVIEWS AND RATINGS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18045619 titled 'CONTINUOUS GRANULAR REVIEWS AND RATINGS
Simplified Explanation
The abstract describes a computer-implemented method for generating product reviews based on trigger events occurring after a user purchases a product. The method involves classifying the product into a product type classification using trained algorithms, generating and transmitting inquiries to the user based on trigger events, obtaining feedback, and generating a product review.
- Trained algorithms are used to classify the purchased product into a product type classification.
- Trigger events are identified and inquiries are generated and transmitted to the user based on these events.
- Feedback from the user is obtained in response to the inquiries.
- Product reviews are generated based on the feedback received.
Potential Applications
This technology could be applied in e-commerce platforms, online review websites, and customer feedback systems.
Problems Solved
This technology helps in automating the process of generating product reviews based on user feedback, making it more efficient and timely.
Benefits
The benefits of this technology include improved customer engagement, faster generation of product reviews, and better understanding of customer preferences.
Potential Commercial Applications
The potential commercial applications of this technology could be in online retail, market research companies, and customer feedback analysis services.
Possible Prior Art
One possible prior art could be existing systems for generating product reviews based on user feedback, although the use of trigger events and trained algorithms for classification may be a novel aspect of this technology.
Unanswered Questions
How does the system ensure the privacy and security of user data during the feedback collection process?
The system should have robust security measures in place to protect user data from unauthorized access or breaches.
Can the system handle a large volume of product reviews and feedback data efficiently?
The scalability of the system in processing a high volume of product reviews and feedback data is crucial for its practical application in real-world scenarios.
Original Abstract Submitted
Computer implemented method, systems, and computer program products include program code executing on a processor(s) that determines that a user has purchased a product. The program code classifies, with at least one trained algorithm, the product into a product type classification. The program code implements one or more trigger events; based on each trigger event occurring, the processor(s) generates and transmits an inquiry to the user. The program code determines that a trigger event has occurred. The program code generates the inquiry, obtains responsive feedback, and generates a product review.
