The technology behind the Clever Sense Platform curates the real world by harvesting and sifting through the vast amount of information available on the Web. The platform is designed to connect the online world with the offline world by delivering recommendations to the users in context, taking into account time, place, and intent.
The Extraction Engine built into the Clever Sense Platform curates large amounts of unstructured crawled data by leveraging natural language processing, statistical machine learning, and data mining algorithms.
As it reads through the data, the Extraction Engine learns meaningful concepts that are descriptive of physical items in the real world. These concepts constitute the foundation of the Clever Sense Interest Graph. The engine further leverages social interactions like check-ins, likes, and ratings to enrich the Interest Graph. It calculates similarities via graph-based algorithms using these social interactions.
At the heart of the Clever Sense Platform is the Serendipity Engine: a personalized, context-aware discovery engine.
The Serendipity Engine adds a layer of real-time machine learning algorithms and intelligent agent architecture to the the Clever Sense Interest Graph. It goes beyond traditional recommendation engines by incorporating the user's anonymous interest profiles and context (time, location, intent, and social context) into the curation of its recommendations.
The Serendipity Engine learns about the user's interests and preferences based on the user's interactions with various sources, including Clever Sense apps, Facebook, and Twitter. The user's interest data are stored anonymously and separate from any personally identifiable information, in order to ensure complete protection of privacy.
