You may ask what is personalized

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These data can reflect the user's personalized characteristics and needs as well as the user's group characteristics and behavioral patterns. Why did I switch to a product manager after working in interactive design for years? After the actual job change, I found that many jobs were beyond my imagination. The work of a product manager is indeed quite complicated. In theory, the work of a product manager includes all aspects of the product, from market research to user survey data analysis. View details> Content feature data refers to the basic information and characteristics of the content, such as theme, style, emotion, quality, length, format, type, label, etc.



These data can reflect the nature and value of the content as israel cell phone number well as the differences and similarities of the content.The value data of content refers to the business indicators and effects of content, such as pageviews, click-through rate, conversion rate, revenue, retention rate, and dissemination rate. These data can reflect the attractiveness and influence of content as well as the contribution and benefits of content. There are many channels and methods for data collection. For example, the platform’s own log system, tracking system, and monitoring system can be used to record and collect user behavior data and content value data in real time; user attribute data and content feature data can be obtained and supplemented through data exchange with third-party data service providers, data platforms, etc.



; user behavior data and attribute data can be obtained and verified through active feedback from users, questionnaires, interviews, and visits; and content feature data and value data can be obtained and verified through active annotation of content, content analysis, and content mining. The purpose of data collection is to build personalized portraits of users and personalized portraits of content so as to provide users with the most suitable content page display for them.The principle of data collection is to collect as much, as complete, as accurate and as new as possible so as to improve the coverage, completeness, accuracy and timeliness of the data.