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Author:
Reserve Core (Rank Conventional), Jin Yi (Chen Yi Ping), Ming Dong (Ouming buildings), owned Asahi (Yangzi Xu).
Keywords:
intelligent recommendation, engineering features, feature processing.
Explanation of terms:
- Machine Learning (Machine Learning): the algorithm is about to produce "model" (model) from the data on the computer;
- Data set (Data Set): a collection of records;
- Model (Model): Secondary refers to data obtained from the results;
- Feature (Feature): is extracted from the raw data of the result of the prediction of useful information may be text or data;
- Engineering characteristics (Feature Engineering): using background knowledge and skills to process data, so that the feature can play a better role in the process of machine learning algorithms. The process comprising extraction, feature construct, wherein selection module;
- Calculating an end / edge of the calculate: the center of the conventional thinking different, it calculates a node closer to the end of the service response than traditional center of the cloud.
1. Background
In recent years, as large data cloud and