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

MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor(s)

Junia Anna George of Kirkland WA (US)

Chetan Bansal of Seattle WA (US)

Nikitha Rao of Bangalore (IN)

Casey Jo Gossard of Spokane WA (US)

Dung Nguyen of Redmond WA (US)

David Boyd Ludwig, Iv of Seattle WA (US)

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.