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This paper studies the case of big data-based intelligent product potentialcustomer mining internal competition in China Telecom Shanghai Company. Hugeamounts of data based on big data table, the use of machine Learning and dataanalysis technology, using the algorithm of LightGBM, PySpark machine Learningalgorithms, Positive Unlabeled Learning algorithm, and predict whethercustomers buy whole house product, precision marketing into artificialintelligence for the customer, large data capacity, promote the development ofintelligent products of the company.

Potential customer mining application of smart home products based on LightGBM PU learning and Spark ML algorithm practice