Summary

Committed to creating a new form of information reading software, with a platform, media and win-win approach. Use mobile applications as the carrier to create content and read information, and provide more useful, interesting and beneficial content to everyone.

💎Original content: Through cooperation with media and PGC, NEW POINT obtains original content.

💎Personalized recommendation: Domestic experts and Silicon Valley scientists work together to recommend special reading content for users with the support of big data.

💎Unique algorithm: Carry out knn clustering according to user attributes, deeply mine user interests, use lda topic model to classify articles, use deep neural network model to train doc2vec (sentiment analysis under text analysis, automatically identify people's opinions from text) subjective views, emotions and attitudes on a particular subject, etc.). Offline computing uses svd matrix decomposition and item base collaborative filtering to generate personalized recommended article collections, and online real-time LR prediction models are used to reorder the recommendation results through click feedback. Classify people and articles, and recommend articles that users like to users.

💎Unique operation: On the basis of grasping the trend of aggregated content, NEW POINT also meets the needs of users for personalization, socialization and localization of information. Through the PGC support plan, a large number of microblog users, media, corporate organizations and other types of self-media and content creators with fashion and lifestyle fans have been attracted to settle in.

💎Column module: real-time information, activities, interaction with netizens, original columns, personalized recommendation algorithm, etc.