Course Recommendation System for Electronic Presentations
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Solution Overview
Problem
Electronic presentations often fail to provide detailed information on referenced concepts due to time constraints, leaving viewers to rely on their existing knowledge or seek additional resources, such as online courses, without clear recommendations for relevant courses.
Innovation Solution
A system and method that identifies and recommends relevant online courses by analyzing the skills discussed in an electronic presentation, using a course recommendation system integrated with an online social network, which calculates relevance scores based on the importance and significance of skills mentioned, and provides these recommendations to viewers during or after the presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If detailed information on referenced concepts is provided in the presentation, then viewer understanding is improved, but presentation time requirements increase beyond reasonable limits
Solution Approach 1:
The patent extracts detailed concept information from the presentation content and relocates it to external online course materials. The system analyzes presentation text to identify referenced concepts, then retrieves pre-existing detailed explanations from online courses, presenting these extracted details to viewers without extending the presentation itself.
Solution Approach 2:
The patent introduces an intermediary system that acts as a bridge between the presentation and detailed concept information. This intermediary automatically analyzes the presentation content, identifies referenced concepts, searches for relevant online courses, and retrieves appropriate detailed explanations, thereby mediating between the time-constrained presentation and the need for comprehensive information.
2Productivity
If viewers are expected to seek additional resources on their own, then presenter preparation time is reduced, but viewer effort and time requirements increase
Solution Approach 1:
The patent implements self-service by automating the resource recommendation process. The system automatically analyzes presentation content, identifies concepts requiring additional explanation, searches for relevant online courses, and generates personalized recommendations for each viewer based on their profile and the presentation content, eliminating the need for manual curation while maintaining high convenience.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system analyzes viewer interactions with recommended resources and uses this feedback to improve future recommendations. The system tracks which resources viewers access and engages with, then uses this information to refine its concept identification and resource matching algorithms, creating a continuous improvement loop.
Data Source
AI summary
A course recommendation system is provided with an on-line social network system. The course recommendation system detects that an electronic presentation is being presented on a display device of a viewer, determines skills that are being discussed in the electronic presentation, and determines electronic courses that have been identified as associated with one or more skills discussed in the electronic presentation. References to one or more of the determined electronic courses are recommended to the viewer of the electronic presentation.