COLD START METHOD AND APPARATUS FOR PERSONALIZING AND PUSHING DATA CONTENT, DEVICE AND STORAGE MEDIUM

摘要

A cold start method and apparatus for personalizing and pushing data content, a device and a storage medium, which relate to the technical field of data analysis in the field of big data. The method comprises: acquiring news data from within an external network, cleaning the news data, unifying the format and filtering repeated data to obtain multiple pieces of news data; acquiring multiple pieces of preset data, and using the preset data and news data as multiple pieces of data to be imported to predict hashtags; importing the data into a search server, and performing inverted index processing on all imported data and corresponding hashtags; acquiring fields inputted by a user, searching in the search server according to the fields to obtain search results; and personalizing and sorting the results and then pushing same to the user. In the described method, when user behavior data or a single service system is missing, the search results may be matched merely by the user inputting fields.