Anomaly detection for online endorsement event
US-8997229-B1 · Mar 31, 2015 · US
Time series technique for analyzing performance in an online professional network
US9524481B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9524481-B2 |
| Application number | US-201414151517-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 9, 2014 |
| Priority date | May 31, 2013 |
| Publication date | Dec 20, 2016 |
| Grant date | Dec 20, 2016 |
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Abstract
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The disclosed embodiments relate to a system for analyzing performance in an online professional network. During operation, the system receives time series data for user actions, wherein for each user action, the time series data comprises a series of numbers associated with consecutive time intervals, wherein a given number indicates a number of times the user action occurred during the time interval. The system also receives time series data for performance metrics, wherein for each performance metric, the time series data comprises a series of numbers associated with consecutive time intervals, wherein a given number indicates the number of times the performance metric occurred during the time interval. The system then performs a time series analysis on the received time series data for user actions and performance metrics to determine relationships between the user actions and the performance metrics.
First claim
Opening claim text (preview).
What is claimed is: 1. A computer-implemented method for analyzing performance in an online professional network, the method comprising: receiving time series data for user actions, wherein for each user action, the time series data comprises a series of numbers associated with consecutive time intervals, wherein a given number indicates a number of times the user action occurred during the time interval; receiving time series data for performance metrics, wherein for each perfo…
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Physics · mapped topic
Physics · mapped topic
- G06Q10/06398Primary
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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- What does patent US9524481B2 cover?
- The disclosed embodiments relate to a system for analyzing performance in an online professional network. During operation, the system receives time series data for user actions, wherein for each user action, the time series data comprises a series of numbers associated with consecutive time intervals, wherein a given number indicates a number of times the user action occurred during the time i…
- Who is the assignee on this patent?
- Linkedin Corp
- What technology area does this patent fall under?
- Primary CPC classification G06Q10/06398. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Dec 20 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).