Cognitive Analogy Recommendation Service
Publication Date: 2019-Apr-13
The IP.com Prior Art Database
Cognitive Analogy Recommendation Service Disclosed is a system which provides Analogy recommendation service using cognitive attributes of the target audience at the time of content creation. The system is also capable to manage the analogy ranking based on the content consumptions by audience using tag and metrics management.
Communication has been key to our growth. Effective communication has become even more important when we have a plethora of communication tools that enable us to express. Be it social media, blogs, meetings, conferences or delivering lectures - our primary objective is to help our audience understand our thoughts clearly.
It happens all the time that our audience is unable to understand the full picture, given their comprehension abilities, knowledge of the subject matter or grasping power. For ex. when you explain an idea to a Five-year-old you must be careful with the words compared to explaining same thing to an adult. In the professional scenario - a common reason of gap in understanding is because Business people do not understand Technical language and vice-versa. We think that conveying an idea with the help of analogies is very easy and has been a proven technique to effectively communicate. Keeping this in mind, we propose a Cognitive solution which would gauge the audience's (Content Receiver) skill levels, comprehension levels, IQ, persona and would come up with analogies that suit that audience to convey the idea or thought. Our system would also help the person delivering the idea (Content Producer) by suggesting him right analogies they could use for conveying their idea most effectively. We propose a Cognitive solution which would gauge the audience's (Content Receiver) skill levels, comprehension levels, IQ, persona and would come up with analogies that suit that audience to convey the idea or thought. Our system would also help the person delivering the idea (Content Producer) by suggesting him right analogies they could use for conveying their idea most effectively.
1. Analogy recommendation during content creation. Content creation action stated above could be either writing or talking. 2. Analogy recommendation during content consumption based on Cognizance of the consumer. Content consumption action stated above could be either reading or listening (audio and video). Cognizance stated here can be the based-on parameters like age and domain understanding. 3. Real-time analogy suggestion based on cognitive behavior. While reading/grasping content, system detect the gesture or expression of a user which user finding difficult to understand the content then system will suggest the analogy at real-time based on content concept and/or context which will help user to understand the content.
Figure represents overall system diagram
Cognitive aspect of Analogy detection the cognitive way of providing analogy in humans relies upon the human understanding of different subject matters. The understanding takes i...