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What is the use of gold coins in interesting headlines? Can you change some change?
In the interesting headlines, gold coins are virtual coins of the platform, and the daily gold coin income will be automatically converted into change the next day, and then the change can be withdrawn! That is equivalent to income!

Gold coins can be directly converted into change, and the change can be withdrawn, but the number of gold coins of one yuan is not fixed, because the gold coins of interesting headlines are converted according to the daily advertising income, which means that the higher the advertising income, the less gold coins are equal to one yuan, and vice versa!

Gold coins are monetary units in interesting titles. Gold coins earned that day will be automatically converted into cash and deposited in your change account the next day. Users who need to redeem can click on mine directly and redeem it at the bottom &; Redeem button, click Enter, and you can redeem WeChat red packets, phone bills and mobile phone traffic!

Extended data

Interesting headline is an innovative life information reading application, which brings together a large number of fresh contents such as life, entertainment, society, health care and fashion to present to users. In addition, while reading information, there are a lot of activities, treasure boxes, benefits and other incentives to help users get rich returns while developing good reading habits.

Interesting headline recommendation system, according to users' attributes, enters knn clustering, deeply digs users' interests, classifies articles by lda theme model, and trains doc2vec (sentiment analysis under text analysis) by using deep neural network model to automatically identify people's subjective views, emotions and attitudes on specific topics from words. ). Off-line computing uses svd matrix decomposition and collaborative filtering of project library to generate personalized recommended article sets, and online real-time LR prediction model reorders the recommended results through click feedback. Classify people and articles, and recommend articles that users like to users.