18298171. CUSTOMIZED RECOMMENDATION GENERATION USING ENTERPRISE DATA ANALYSIS AND INFERENCE simplified abstract (Microsoft Technology Licensing, LLC)

CUSTOMIZED RECOMMENDATION GENERATION USING ENTERPRISE DATA ANALYSIS AND INFERENCE

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Eivind Berg Fosse of Oslo (NO)

Ute Katja Schiehlen of Oslo (NO)

Sergey Putilin of Oslo (NO)

Tinus Sola Flagstad of Oslo (NO)

Mohammadreza Bonyadi of Trondheim (NO)

Ola Saetrom of Oslo (NO)

Espen Trautmann Sommerfelt of Oslo (NO)

Torbjørn Helvik of Oslo (NO)

CUSTOMIZED RECOMMENDATION GENERATION USING ENTERPRISE DATA ANALYSIS AND INFERENCE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18298171 titled 'CUSTOMIZED RECOMMENDATION GENERATION USING ENTERPRISE DATA ANALYSIS AND INFERENCE

The abstract describes a method for inferring the favorite authors and collaborators of a user by analyzing document access and contributor data in an enterprise authorship database.

• Storing an enterprise authorship database
• Identifying a document accessed by a user
• Identifying contributors to the document
• Generating a contribution score for each contributor
• Determining one or more authors of the document
• Creating an authorship record by associating user identifiers with authors
• Updating the enterprise authorship database with the authorship record

Potential Applications: - Personalized author recommendations for users - Enhanced collaboration suggestions for users - Improved content discovery within an organization

Problems Solved: - Identifying favorite authors and collaborators of users - Streamlining authorship attribution in enterprise settings

Benefits: - Increased user engagement with relevant content - Enhanced collaboration opportunities within organizations - Improved knowledge sharing and information discovery

Commercial Applications: Title: Enterprise Authorship Recommendation System Description: This technology can be used in knowledge management systems, content platforms, and collaboration tools to enhance user experience and productivity.

Questions about the technology: 1. How does this method improve user engagement with content? 2. What are the potential implications for knowledge sharing within organizations?

Frequently Updated Research: Stay updated on advancements in user behavior analysis and recommendation systems to enhance the effectiveness of this technology.

Original Abstract Submitted

Systems and methods for inferring the favorite authors and collaborators of a user are provided. The method includes storing an enterprise authorship database, identifies a document accessed by a user identifier (UID), identifying contributors to the identified document, generating a contribution score for each contributor of the identified contributors, based on each generated contribution score, determining one or more authors of the identified document, creating an authorship record by associating UIDs of the determined one or more authors with the identified document, and updating the enterprise authorship database with the created authorship record, wherein the authorship record is used to identify a relationship between the UID and the determined one or more authors and generate a recommendation for the UID based on the identified relationship.