Projects

UrbanAD:A Dual Channel Spatio-Temporal Learning Framework for Urban Anomaly Detection.

Based on artificial intelligence and big data technology, by integrating online retail data and local community consumption data, building an artificial intelligence application scenario service platform in the field of commerce and trade.

Intelligent recommendation through AI algorithm combined with multi-dimensional information collection, 360-degree restoration depicts each exhibition participant, and taps more potential business opportunities.

Based on urban multi-source big data and recommendation ranking technology, we built the first spatiotemporal intelligent recommendation engine in the field of smart cities to achieve real-time, diversified and accurate recommendations for thousands of people, thereby improving user experience and enhancing user stickiness.