Microsoft technology licensing, llc (20240135097). CONSTRUCTING ANSWERS TO QUERIES THROUGH USE OF A DEEP MODEL simplified abstract
Contents
- 1 CONSTRUCTING ANSWERS TO QUERIES THROUGH USE OF A DEEP MODEL
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 CONSTRUCTING ANSWERS TO QUERIES THROUGH USE OF A DEEP MODEL - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
CONSTRUCTING ANSWERS TO QUERIES THROUGH USE OF A DEEP MODEL
Organization Name
microsoft technology licensing, llc
Inventor(s)
Xiaojian Wu of Fremont CA (US)
Doran Chakraborty of San Jose CA (US)
Hyun-Ju Seo of Los Gatos CA (US)
Gangadharan Venkatasubramanian of Redmond WA (US)
CONSTRUCTING ANSWERS TO QUERIES THROUGH USE OF A DEEP MODEL - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240135097 titled 'CONSTRUCTING ANSWERS TO QUERIES THROUGH USE OF A DEEP MODEL
Simplified Explanation
The abstract describes a technology that uses a deep model to construct answers to queries in list form based on relevant webpage content.
- The technology utilizes a deep model to analyze and process webpage content.
- The answer is presented in list form, consisting of a header and list elements.
- The deep model constructs the answer upon receiving the query and relevant webpage content from a search engine.
Potential Applications
This technology could be applied in:
- Search engines to provide more accurate and structured answers to user queries.
- Content generation tools to automatically create lists based on specific topics.
Problems Solved
This technology addresses:
- Improving the accuracy and relevance of answers provided to user queries.
- Enhancing the efficiency of content creation by automating the process of generating lists.
Benefits
The benefits of this technology include:
- Streamlining the process of answering queries by structuring information in list form.
- Enhancing user experience by providing concise and relevant answers to queries.
Potential Commercial Applications
A potential commercial application for this technology could be:
- Developing a search engine feature that offers list-based answers to user queries for improved user engagement and satisfaction.
Possible Prior Art
One possible prior art for this technology could be:
- Existing search engine algorithms that analyze webpage content to provide relevant answers to user queries.
Unanswered Questions
How does this technology handle complex queries that require detailed explanations beyond list format?
This technology focuses on constructing answers in list form based on relevant webpage content. For complex queries, additional algorithms or models may be needed to provide detailed explanations beyond list format.
What measures are in place to ensure the accuracy and reliability of the constructed answers?
The abstract does not provide specific details on the validation process for the constructed answers. It would be important to understand how the technology verifies the accuracy and reliability of the answers generated before presenting them to users.
Original Abstract Submitted
various technologies relating to constructing an answer to a query are described herein, wherein the answer is in list form. the answer includes a header and a list element. a deep model receives content of a webpage that is deemed relevant to the query by a search engine and constructs the answer to the webpage upon receipt of the query.
