18112304. GROUP RECOMMENDATION FOR USER-GENERATED CONTENT simplified abstract (Microsoft Technology Licensing, LLC)
GROUP RECOMMENDATION FOR USER-GENERATED CONTENT
Organization Name
Microsoft Technology Licensing, LLC
Inventor(s)
Franklin Geo Francis of Bangalore (IN)
Taruna Manchanda of Bangalore (IN)
GROUP RECOMMENDATION FOR USER-GENERATED CONTENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18112304 titled 'GROUP RECOMMENDATION FOR USER-GENERATED CONTENT
The patent application describes methods, systems, and computer programs for recommending a group for posting content generated by a user on an online service.
- Detecting a user's post being added to an online service
- Determining post interest scores for the post across a plurality of interests associated with topics
- Calculating match scores for a plurality of groups based on the post interest scores to determine relevance
- Recommending a group for including the user's post in a feed based on the match scores
- Presenting the recommended group to the user
Potential Applications: - Social media platforms - Content recommendation systems - Online community management tools
Problems Solved: - Enhancing user engagement by recommending relevant groups for posting content - Improving the user experience by suggesting groups aligned with their interests
Benefits: - Increased user interaction and participation - Personalized content recommendations - Enhanced community building within online platforms
Commercial Applications: Title: "Enhanced Content Recommendation System for Online Platforms" This technology can be utilized by social media companies, online forums, and content sharing platforms to improve user engagement and drive traffic to specific groups or communities. It can also be integrated into marketing strategies to target specific audiences based on their interests.
Questions about the technology: 1. How does this technology differ from existing content recommendation systems? 2. What data privacy considerations are involved in recommending groups based on user-generated content?
Original Abstract Submitted
Methods, systems, and computer programs are presented for recommending a group for posting content generated by a user. One method includes an operation for detecting a post of a user being added to an online service. The method further includes an operation for determining post interest scores for the post. The post interest scores are for a plurality of interests and each interest is associated with a topic. A match score is calculated for a plurality of groups based on the post interest scores, where the match score for each group indicates a degree of relevance of the post to the group. The method further includes operations for determining whether to recommend a group, from the plurality of groups, for including the post of the user in a feed of the recommended group, and for causing presentation of the recommended group based on the determined recommendation.
