Know Your Customers. GraphDive's Big Data analytics provide key insights into your users, such as: Top interests; Age, income, education + relationship status
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InferredInterests is an API method that provides a user’s ranked interest graph (traceableInterests) and shows the supporting concepts behind it. It has two components: sourceContentDigests and traceableInterests. GraphDive’s algorithms single out the most important signals from all the noisy signals in a user’s social profile and associated data to generate a ranked set of categorized interests for that user. sourceContentDigests is where you can find the Facebook signals that support a given user interest as ranked by GraphDive’s algorithms. A signal can be an individual user event, such as a “like” on Wimbledon’s Facebook page, or a user activity, such as a check-in at a tennis club. traceableInterests is a ranked list of interests for the user where each interest, or node, is assigned a “score” by GraphDive’s algorithms reflecting its importance or relevance to the user. Each interest has a “nodeName” and corresponding “nodeId” and references items from the sourceContentDigests list that contributed to that particular node or interest’s score.