18182849. COMMENT SECTION ANALYSIS OF A CONTENT SHARING PLATFORM simplified abstract (Google LLC)
Contents
COMMENT SECTION ANALYSIS OF A CONTENT SHARING PLATFORM
Organization Name
Inventor(s)
Mason Henry Dimarco of San Diego CA (US)
Yanan Qian of Sunnyvale CA (US)
COMMENT SECTION ANALYSIS OF A CONTENT SHARING PLATFORM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18182849 titled 'COMMENT SECTION ANALYSIS OF A CONTENT SHARING PLATFORM
Simplified Explanation: The patent application focuses on determining comment scores for comments on a content sharing platform to adjust the ranking of media items based on the comments.
Key Features and Innovation:
- Identifying a subset of comments on a media item.
- Determining comment scores based on comment attributes.
- Calculating a comment section score for the media item.
- Determining media item attributes based on the comment section score.
- Adjusting the ranking of the media item based on the comment scores.
Potential Applications: This technology could be applied to social media platforms, online forums, and content sharing websites to improve the ranking of media items based on user comments.
Problems Solved: This technology addresses the challenge of accurately assessing the quality and relevance of user comments to determine the ranking of media items.
Benefits:
- Enhances the user experience by promoting high-quality comments.
- Improves the visibility of valuable content on content sharing platforms.
- Provides a more accurate ranking of media items based on user engagement.
Commercial Applications: The technology could be utilized by social media platforms, online publishers, and e-commerce websites to optimize the visibility and ranking of content based on user comments.
Questions about the Technology: 1. How does this technology differentiate between high-quality and low-quality comments? 2. What impact could this technology have on user engagement and content visibility on social media platforms?
Frequently Updated Research: Stay updated on research related to user engagement metrics, sentiment analysis, and content ranking algorithms to enhance the effectiveness of this technology.
Original Abstract Submitted
A media item of a content sharing platform is identified. A subset of comments in a comment section presented with the media item is identified. A comment score for each comment in the subset of comment is determined. The comment score indicates comment attributes associated with a respective comment in the subset of comments. At least one comment section score for the media item is determined based on comment scores of the subset of comments. One or more media item attributes of the media item are determined based on the at least one comment section score. The media item is associated with the one or more media item attributes. The media one or more media item attributes are indicative of whether a ranking of the media item is to be adjusted.
