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January 2025
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Collects viewing behavior across two-way users and services for analysis and content operations.

Support real-time analysis of viewing hotspots and trends for tens of millions of users

Support user- and program-based collaborative filtering for an intelligent recommendation system based on rich tags

Use big data technologies to store and manage massive, multi-source, diverse data and provide real-time analytics results

By building a big data platform and integrating business capabilities, provide fused, personalized content-recommendation services

The entire big data analytics platform is divided into nine systems, of which:
Hardware infrastructure: this part mainly provides hardware support for the entire big data platform;
Operations-support system: this part includes data management, unified portal design, and more;
Platform-management system: this part mainly unifies management of the big data platform’s own systems and related business systems;
The others are business systems, including a user-behavior analysis system, news-manuscript processing system, data-service system, function-service system, and integrated publishing new system.
Based on viewing habits, comments, user attributes, ad clicks, and related information, recommend programs and services to raise user satisfaction.
Based on rich user data, tag each user well and provide targeted services to raise program viewership.
Build user archives and provide business units with precision marketing, retention, product promotion, and other market services.
Make more precise behavior judgments for each user, tag users, and conduct personalized marketing by usage habits, providing decision support.

津公网安备 12011602000521号
津公网安备 12011602000521号



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