What is Qutoutiao? Qutoutiao Review, Features

What is Qutoutiao? Qutoutiao Review, Features


Qutoutiao is an APP developed by Shanghai Jifen Culture Communication Co., Ltd., with entertainment and life information as its main content. Relying on intelligent data analysis system, it provides accurate content distribution services for audiences in emerging markets. With its outstanding content innovation and reading experience, it has become a mobile content aggregation APP unicorn.


About Qutoutiao

On August 18, 2018, Qutoutiao submitted an application for an IPO (Initial Public Offerings) in the United States. On the evening of September 14, 2018 [81], Qutoutiao was officially listed on the Nasdaq Stock Exchange, becoming the first mobile content aggregation stock.


On April 21, 2022, Qutoutiao's self-media platform issued a notice on stopping the service and maintenance of the self-media creation platform, and stopped the service and maintenance of the self-media creation platform on June 30, 2022. The content upload entrance was offline on April 21, and the author's account that failed to withdraw cash after the deadline will be deemed to have automatically waived the account income, and the account balance will be automatically cleared after June 28.


Features

Qutoutiao is committed to creating a new form of information reading software, with a platform, media and win-win approach. It uses mobile applications as a carrier for content creation and information reading, and provides more useful, interesting and beneficial content to everyone.


Original content: Through cooperation with media and PGC, Qutoutiao obtains original content.


Personalized recommendations: Domestic experts and Silicon Valley scientists work together to recommend featured reading content to users based on big data.


Unique algorithm:

The recommendation system of Qutoutiao uses knn clustering based on user attributes to deeply explore user interests, uses lda topic models to classify articles, and uses deep neural network models to train doc2vec (sentiment analysis under text analysis, automatically identifying people's subjective views, emotions and attitudes on specific topics from text, etc.). Offline calculation uses svd matrix decomposition and item base collaborative filtering to generate personalized recommendation article sets, and online real-time LR prediction models are used to re-rank recommendation results through click feedback. Categorize people and articles, and recommend articles that users like to users.


Unique Operations:

Based on the trend of aggregated content, Qutoutiao also meets the needs of users for personalized, social and localized information. Through the PGC support plan, it has attracted a large number of Weibo users with fashion and lifestyle fans, media, corporate organizations and other types of self-media, content creators and other parties to join.


Column module:

Real-time information, activities, online interactions, original columns, topic PK, interesting videos, personalized recommendation algorithms, and continuous activities

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