What is Co-Pilot?
Co-Pilot is Stackla's latest Enterprise feature, designed to help organisations shift through the large quantities of User Generated Content available for aggregation, and help surface the best and most appropriate content for a brand.
Using Machine Learning and various other insights, Co-Pilot studies the user behaviour of Content Curators on a Stack and looks for patterns around key behaviours such as Publishing or Disabling content, or applying Tags. Based upon these patterns, Co-Pilot then analyses new content which is aggregated into a user's Stack and makes recommendations based upon these insights to help reduce Curation time and help make it easier to find quality content.
How does it work?
Co-Pilot leverages a range of data sources, including user behaviour insights, to identify patterns within a Stack. These patterns are used to help build out Recommendation Models which are used to help assist in the curation process.
Driving these Models are the following data sources:
- Content Metadata
- User Behaviour
- Visual Recognition Data
- Content Engagement Data
Content Metadata relates to metadata provided by the relevant source networks as well as appended data such as Language and/or Sentiment, whilst from a Visual Recognition perspective, Stackla will identify key elements within the aggregated media file, and append Tags to help surface patterns.
Content Engagement Data relates to insights provided by Trackla around Impressions, Likes, Dislikes, Comments, Votes and Clicks on Tiles currently displayed on Stackla Widgets, whilst User Behaviour data provides the final piece of the puzzle for the algorithm.
For any further questions or queries, please submit a request and our support team will get back to you.