Cisco technology, inc. (20240323096). RECOMMENDATION GROUPING FOR PREDICTIVE NETWORKING simplified abstract
Contents
RECOMMENDATION GROUPING FOR PREDICTIVE NETWORKING
Organization Name
Inventor(s)
Jean-Philippe Vasseur of Combloux (FR)
Grégory Mermoud of Venthòne (CH)
Pierre-André Savalle of Rueil-Malmaison (FR)
Eduard Schornig of Haarlem (NL)
RECOMMENDATION GROUPING FOR PREDICTIVE NETWORKING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240323096 titled 'RECOMMENDATION GROUPING FOR PREDICTIVE NETWORKING
Simplified Explanation: The patent application describes a device that generates recommendations to optimize the quality of experience for applications on a network. It assigns scores to different groupings of recommendations and selects the best grouping for implementation in the network.
Key Features and Innovation:
- Device generates recommendations for network optimization
- Assigns scores to different groupings of recommendations
- Selects the best grouping based on scores for implementation
Potential Applications: This technology could be used in various networks to enhance the quality of experience for users accessing different applications.
Problems Solved: This technology addresses the challenge of optimizing the quality of experience for applications on a network by providing tailored recommendations.
Benefits:
- Improved quality of experience for users
- Efficient network optimization
- Tailored recommendations for application performance
Commercial Applications: This technology could be utilized in telecommunications, streaming services, online gaming platforms, and other network-based industries to enhance user experience and performance.
Prior Art: Readers can explore prior art related to network optimization, recommendation systems, and quality of experience enhancement in network technologies.
Frequently Updated Research: Stay informed about the latest research on network optimization, recommendation systems, and quality of experience enhancement in network technologies.
Questions about Network Optimization: 1. How does the device determine the scores for different groupings of recommendations? 2. What are some potential challenges in implementing the selected grouping in a network environment?
Original Abstract Submitted
in one embodiment, a device generates a plurality of recommendations for a network, each recommendation indicating a suggested action to optimize quality of experience of a corresponding application accessible via the network. the device assigns scores to different possible groupings of the plurality of recommendations. the device selects a particular grouping from among the plurality of recommendations, based on their scores. the device provides the particular grouping for implementation in the network.
