17972273. METHOD AND SYSTEM FOR RECOMMENDING ADDRESSES DURING PURCHASE ORDER PROCESSING simplified abstract (Dell Products L.P.)
Contents
- 1 METHOD AND SYSTEM FOR RECOMMENDING ADDRESSES DURING PURCHASE ORDER PROCESSING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND SYSTEM FOR RECOMMENDING ADDRESSES DURING PURCHASE ORDER PROCESSING - 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
METHOD AND SYSTEM FOR RECOMMENDING ADDRESSES DURING PURCHASE ORDER PROCESSING
Organization Name
Inventor(s)
Priya Shanmugasundaram of Bangalore (IN)
Sailendu Kumar Patra of Bangalore (IN)
METHOD AND SYSTEM FOR RECOMMENDING ADDRESSES DURING PURCHASE ORDER PROCESSING - A simplified explanation of the abstract
This abstract first appeared for US patent application 17972273 titled 'METHOD AND SYSTEM FOR RECOMMENDING ADDRESSES DURING PURCHASE ORDER PROCESSING
Simplified Explanation
The method described in the abstract is for generating address recommendations based on user feedback. Here are the key points:
- Obtaining an address recommendation request associated with a user
- Generating a context vector for the address
- Creating an address recommendation using a recommendation model
- Obtaining user feedback on the recommendation
- Generating a reward based on the feedback
- Updating the recommendation model based on the context vector, recommendation, and reward
Potential Applications
This technology could be applied in e-commerce platforms, navigation apps, and location-based services to provide personalized address recommendations to users.
Problems Solved
This method solves the problem of providing accurate and relevant address recommendations to users based on their preferences and feedback.
Benefits
The benefits of this technology include improved user experience, increased user engagement, and more efficient address recommendations.
Potential Commercial Applications
A potential commercial application of this technology could be in online shopping platforms to suggest delivery addresses based on user behavior and feedback.
Possible Prior Art
One possible prior art could be recommendation systems used in e-commerce platforms to suggest products based on user preferences and behavior.
What is the impact of this technology on user privacy?
This article does not address the potential impact of this technology on user privacy.
How does this technology compare to existing address recommendation systems?
This article does not provide a comparison with existing address recommendation systems.
Original Abstract Submitted
Techniques described herein relate to a method for generating address recommendations. The method includes obtaining, by a recommendation system, an address recommendation request associated with an address, wherein the address is associated with a user; in response to obtaining the address recommendation request: generating a context vector associated with the address; generating an address recommendation based on the context vector using a recommendation model; obtaining user feedback associated with the address recommendation; generating a reward based on the user feedback; and updating the recommendation model based on the context vector, the address recommendation and the reward.
