Research of New Energy Vehicles User Portrait and Vehicle-Owner Matching Model Based on Multi-source Big Data

Due to the national policy of energy conservation and emission reduction, the new energy vehicular industry experiences fast development in China, and the sales of new energy vehicles have grown rapidly in the past two years. China Unicom provides new energy vehicles with the gamut of network services and has collected large volume of network interaction data with potential values. By constructing a model system for mining potential information value, this paper proposes innovative methods of dissecting the characteristics of new energy vehicles’ consumers and building user portraits, as well as matching the relationship between car owners and vehicles based on multi-source big data. This will effectively assist the precision marketing of the new energy vehicular industry and the landing of innovative cooperation scenarios between China Unicom and the new energy vehicular industry.