18541216. DOCUMENT RE-FINDING SYSTEM simplified abstract (Microsoft Technology Licensing, LLC)

From WikiPatents
Jump to navigation Jump to search

DOCUMENT RE-FINDING SYSTEM

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Gonzalo A. Ramos of Kirkland WA (US)

Jin A. Suh of Seattle WA (US)

Shiqian Rachel Ng of Seattle WA (US)

Christopher Alan Meek of Kirkland WA (US)

Haekyu Park of Atlanta GA (US)

DOCUMENT RE-FINDING SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18541216 titled 'DOCUMENT RE-FINDING SYSTEM

Simplified Explanation

The patent application abstract describes a document re-finding system that generates embeddings for concept clips provided by a user to help in searching for content of interest in previously seen documents. The system determines semantic relationships between the concept and document clips to aid in re-finding specific documents.

  • The system generates embeddings for concept clips provided by the user.
  • Semantic relationships between the concept and document clips are determined based on the embeddings.
  • A graphical user interface is rendered to the user to depict the semantic relationships and enable re-finding of documents.

Potential Applications

The technology described in the patent application could be applied in various fields such as information retrieval, content recommendation systems, and personalized search engines.

Problems Solved

This technology addresses the challenge of efficiently re-finding specific documents among a large collection based on user-defined concepts.

Benefits

The system provides users with a more intuitive and effective way to search for and retrieve documents of interest, ultimately improving their overall information retrieval experience.

Potential Commercial Applications

The technology could be utilized in document management systems, online libraries, academic research platforms, and any other application where users need to search and retrieve specific content from a large database.

Possible Prior Art

One potential prior art could be the use of embeddings in natural language processing tasks such as document similarity and information retrieval. Another could be the development of personalized recommendation systems based on user preferences and interactions with content.

Unanswered Questions

How does the system handle privacy and security concerns related to user-provided concept clips and document embeddings?

The patent application abstract does not provide details on how the system ensures the privacy and security of user data. It would be important to understand the measures in place to protect sensitive information.

What is the scalability of the system in handling a large number of documents and concept clips?

The abstract does not mention the scalability of the system in dealing with a vast amount of data. It would be crucial to know how the system performs as the volume of documents and user-provided concept clips increases.


Original Abstract Submitted

A document re-finding system generates embeddings for concept clips provided by a user, the concept clips defining a concept for searching for content of interest to the user in a plurality of documents previously seen by the user. The re-finding system determines semantic relationships between the concept and document clips, related to respective document among the plurality of documents, based on the concept embedding and embeddings generated for the document clips. A graphical user interface depicting the semantic relationships is rendered to the user and is operable to enable re-finding a document, among the plurality of documents, having the content of interest to the user.