18124851. RECOMMENDATION GROUPING FOR PREDICTIVE NETWORKING simplified abstract (Cisco Technology, Inc.)
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 18124851 titled 'RECOMMENDATION GROUPING FOR PREDICTIVE NETWORKING
The abstract describes a device that generates recommendations to optimize the quality of experience for applications on a network. The device assigns scores to different groupings of recommendations and selects the best grouping based on these scores for implementation in the network.
- The device generates recommendations for optimizing the quality of experience for applications on a network.
- Scores are assigned to different groupings of recommendations.
- The device selects the best grouping based on these scores for implementation in the network.
Potential Applications: This technology could be applied in various industries where network optimization is crucial, such as telecommunications, streaming services, and online gaming platforms.
Problems Solved: This technology addresses the challenge of efficiently optimizing the quality of experience for applications on a network, ensuring a seamless user experience.
Benefits: The technology helps improve user satisfaction by optimizing the performance of applications on a network, leading to increased engagement and loyalty.
Commercial Applications: This technology could be valuable for network service providers, content delivery networks, and online platforms seeking to enhance the quality of experience for their users.
Prior Art: Researchers can explore existing patents related to network optimization, quality of experience, and recommendation systems to gain insights into prior art in this field.
Frequently Updated Research: Stay informed about the latest advancements in network optimization, quality of experience, and recommendation systems to enhance the effectiveness of this technology.
Questions about the technology: 1. How does this technology impact the overall user experience on a network? 2. What are the key factors considered when selecting the best grouping of recommendations for implementation?
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.
