COMPUTERIZED SYSTEMS AND METHODS FOR LOCATION-BASED CONTENT FILTERING AND DELIVERY
摘要:
The disclosed systems and methods provide novel mechanisms for a location-based and content-relevant recommendation framework. The disclosed framework involves a hierarchical artificial intelligence/machine learning (AI/ML) based solutions that maximizes content quality and user engagement. The framework can identify local news content and accurately match the local content to users based on a user-based location proximity and relevancy. Accordingly, such content can then be provided to each user, which can be based on each user's preference settings for receiving recommended content.
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