17985958. SUMMARIZING COLLABORATIVE DATA BASED ON DETERMINED USER INTEREST AND STATUS simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
Contents
- 1 SUMMARIZING COLLABORATIVE DATA BASED ON DETERMINED USER INTEREST AND STATUS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SUMMARIZING COLLABORATIVE DATA BASED ON DETERMINED USER INTEREST AND STATUS - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
SUMMARIZING COLLABORATIVE DATA BASED ON DETERMINED USER INTEREST AND STATUS
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Harry Hoots of Raleigh NC (US)
Panav Setia of Southborough MA (US)
Connor Paul of Raleigh NC (US)
Jana H. Jenkins of Raleigh NC (US)
SUMMARIZING COLLABORATIVE DATA BASED ON DETERMINED USER INTEREST AND STATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17985958 titled 'SUMMARIZING COLLABORATIVE DATA BASED ON DETERMINED USER INTEREST AND STATUS
Simplified Explanation
The abstract describes a method for automatically generating a communication summary based on communications received on electronic communication systems. The method involves determining if new communications relate to stored topics of interest, extracting content from these communications, associating the content with relevant topics, and generating a summary for display.
- Automatically determine if new communications relate to stored topics of interest
- Extract content from new communications and associate it with related topics
- Generate and display a communication summary based on the extracted content
- Label the new communications with the related topics of interest
Potential Applications
The technology described in this patent application could be applied in various industries such as customer service, marketing, and information management systems.
Problems Solved
This technology solves the problem of information overload by automatically summarizing and categorizing communications based on user interests, making it easier for users to manage and prioritize their messages.
Benefits
- Saves time by providing a concise summary of communications - Helps users stay organized by categorizing messages based on topics of interest - Improves efficiency in information retrieval and decision-making processes
Potential Commercial Applications
One potential commercial application of this technology could be in email management software, where users can benefit from automated communication summaries and topic categorization.
Possible Prior Art
One possible prior art for this technology could be existing email filtering and categorization systems that use algorithms to sort messages based on keywords and user preferences.
Unanswered Questions
How does the system handle privacy and data security concerns when extracting and storing content from communications?
The patent abstract does not provide details on how privacy and data security are addressed in the process of extracting and storing content from communications.
What is the accuracy rate of the system in determining the relevance of new communications to stored topics of interest?
The abstract does not mention the accuracy rate of the system in determining the relevance of new communications to stored topics of interest.
Original Abstract Submitted
A method for automatically and electronically generating a communication summary based on communications received on electronic communication systems is provided. The method may include, automatically determining whether new and different communications received on an electronic communication system relates to stored topics of interest to the user. The method may further include, in response to determining that the received new and different communications relate to the stored topics of interest, automatically extracting content from the new and different communications, and associating and storing the extracted content associated with at least one new communication with at least one related topic of interest from the stored topics of interest. The method may further include automatically generating and displaying the communication summary comprising the extracted content from the received new and different communications and presenting and labeling the new and different communications with the at least one related topic of interest.
