View source for 18520956. IDENTIFICATION OF CONTENT GAPS BASED ON RELATIVE USER-SELECTION RATES BETWEEN MULTIPLE DISCRETE CONTENT SOURCES simplified abstract (MICROSOFT TECHNOLOGY LICENSING, LLC)

=IDENTIFICATION OF CONTENT GAPS BASED ON RELATIVE USER-SELECTION RATES BETWEEN MULTIPLE DISCRETE CONTENT SOURCES=


==Organization Name==

[[:Category:MICROSOFT TECHNOLOGY LICENSING, LLC|MICROSOFT TECHNOLOGY LICENSING, LLC]]


[[Category:MICROSOFT TECHNOLOGY LICENSING, LLC]]

==Inventor(s)==

[[:Category:Junia Anna George of Kirkland WA (US)|Junia Anna George of Kirkland WA (US)]][[Category:Junia Anna George of Kirkland WA (US)]]

[[:Category:Chetan Bansal of Seattle WA (US)|Chetan Bansal of Seattle WA (US)]][[Category:Chetan Bansal of Seattle WA (US)]]

[[:Category:Nikitha Rao of Bangalore (IN)|Nikitha Rao of Bangalore (IN)]][[Category:Nikitha Rao of Bangalore (IN)]]

[[:Category:Casey Jo Gossard of Spokane WA (US)|Casey Jo Gossard of Spokane WA (US)]][[Category:Casey Jo Gossard of Spokane WA (US)]]

[[:Category:Dung Nguyen of Redmond WA (US)|Dung Nguyen of Redmond WA (US)]][[Category:Dung Nguyen of Redmond WA (US)]]

[[:Category:David Boyd Ludwig, Iv of Seattle WA (US)|David Boyd Ludwig, Iv of Seattle WA (US)]][[Category:David Boyd Ludwig, Iv of Seattle WA (US)]]

[[:Category:Curtis Dean Anderson of Kent WA (US)|Curtis Dean Anderson of Kent WA (US)]][[Category:Curtis Dean Anderson of Kent WA (US)]]

==IDENTIFICATION OF CONTENT GAPS BASED ON RELATIVE USER-SELECTION RATES BETWEEN MULTIPLE DISCRETE CONTENT SOURCES - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18520956 titled 'IDENTIFICATION OF CONTENT GAPS BASED ON RELATIVE USER-SELECTION RATES BETWEEN MULTIPLE DISCRETE CONTENT SOURCES

==Simplified Explanation==

The patent application abstract describes a system that identifies content gaps by analyzing user-selection rates between different content sources based on search log activity.

* The system analyzes search log activity to determine if users conducting specific search activities are selecting content from a predefined source or from third-party sources.
* This analysis helps identify content gaps within the predefined content source of interest.

== Potential Applications ==
This technology could be applied in:
* Content recommendation systems
* Search engine optimization tools

== Problems Solved ==
This technology helps address:
* Identifying content gaps in specific content sources
* Improving user satisfaction with content resources

== Benefits ==
The benefits of this technology include:
* Enhanced user experience
* Improved content relevance
* Increased user engagement

== Potential Commercial Applications ==
Potential commercial applications of this technology include:
* Marketing analytics platforms
* E-commerce platforms

== Possible Prior Art ==
One possible prior art for this technology could be:
* Similar systems used in e-commerce platforms to analyze user behavior and preferences.

== Unanswered Questions ==
=== How does the system differentiate between user preferences and content gaps? ===
The system likely uses algorithms to analyze user behavior patterns and compare them with content selection rates to determine if there are content gaps.

=== What measures are in place to ensure user privacy and data security during the analysis process? ===
The system may employ encryption techniques and data anonymization methods to protect user information while analyzing search log activity.


==Original Abstract Submitted==

Identification of content gaps based on relative user-selection rates between multiple discrete content sources. A system analyzes search log activity to determine whether users that are conducting particular types of search activities are ultimately selecting and relying upon content resources from a predefined content source of interest or, alternatively, whether such users are unsatisfied with the predefined content source of interest and are instead relying upon other third-party content sources. This particular type of analysis provides valuable insights into whether content gaps exist within the predefined content source of interest.



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