Facebook, Inc. (Menlo Park, CA)

Methods, systems and non-transitory computer-readable media can determine a page to be scored for quality based at the very least on videos that are posted on the page. The relevant video ecosystem quality scores can be determined for the videos that are posted on the page. Based at least partially on the quality scores of the video content uploaded to the page an ecosystem score for video can be calculated for the page.

Nowadays, people use computers (or systems) for a wide variety of reasons. Users can connect with each other as well as create and share content, in addition to view and modify content. In certain situations, users may make use of their devices as a way to connect to a social network and upload posts to the social media. The content posted to the social network may comprise text-based content items as well as media content items like audio, images, and videos. Content posted to the social network may be made available to the social media platform for consumption by others.

The present technology may include methods, systems, as well as non-transitory computer-readable media which are able to be used to score websites for quality. Videos can be assigned videoecosystem quality ratings. Based at a minimum on the video ecosystem quality scores of the videos added to the page the page could be given an overall score for the video ecosystem.

In a particular embodiment, a video’s quality score for a video is determined based on a combination of at least two sub-scores.

A method determines the quality score for the video ecosystem for the film based at least in part on the first sub-score. This is the video quality panel score which evaluates the quality of the film.

A prototype predicts the video panel score using a machine learning model. This model is trained to calculate the panel score for the video using a combination of features that describe the video and page.

An embodiment determines the video ecosystem quality score for video based in part , on the sub-score which corresponds to the high-intent score on the page. The high-intent page score measures user intent when accessing the site.

In one particular embodiment, the high-intent score is calculated based at a minimum partly on a loyalty score that measures an amount of user loyalty toward the website and an intention score that measures an amount of intentionality of users toward the site.

An embodiment determines the video ecosystem quality score for the videos, based at least on an additional sub-score. This is the integrity score for the video. The integrity score is determined by an array of factors that assess subject issues in the video.

A particular embodiment determines the video ecosystem score for pages based on average of all video ecosystem scores for the videos uploaded to the page.

A specific embodiment of the invention employs non-transitory computer-readable media and systems for categorizing pages based at minimum in part on the video ecosystem score for the video.

In one embodiment, the systems as well as methods and non-transitory computer readable media are configured to provide the site as an option to one or more users according to at least a portion on the video ecosystem quality score for the page.

It should be noted that many other features and applications, embodiments or variations of the disclosed technology will be evident from the accompanying drawings as well as from the detailed description below. Other and/or alternate methods of implementing the systems, structures, non-transitory computer readable media and the methods described in this document can be employed with no deviation from the fundamentals of the disclosed technology.

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