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Information Overload
Because of the massive amounts of data generated on the Internet, website users struggle to quickly and accurately locate content or products of interest, severely hindering user experience and loyalty.
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Neglect of Long Tail Effect
Only mainstream content and products are recommended. As a result, opportunities for other excellent but less famous content or products are limited and are unlikely to be discovered by users.
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Difficult Content Analysis and Mining
In the 5G era, it is unlikely that manpower can analyze the growing amounts of information generated on the Internet. Although AI technologies are of great help, they are not easy to understand or master.
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Points of Interest Reduced
Recommendations based on historical user behaviors can meet users' interests only in the short term. More proactive recommendations are required to stimulate and diversify users' points of interest.
Features Features
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Elastic Scaling
Dynamically adjusts computing capabilities and bandwidth to efficiently meet service requirements and reduce costs.
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Leading Technologies
Tags the recommended items using the visual and NLP technologies and identifies user preferences based on user behaviors.
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Extensive Algorithms
Incorporates collaborative filtering, CTR estimation, graph and deep learning algorithms to help improve ease of use and recommendation accuracy.
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Real-Time Recommendations
Responds to recommendation requests in milliseconds, adjusts recommendation lists in seconds, and updates candidate sets in minutes.
Business Challenges Business Challenges
Practices Practices
Content Recommendations
Helps users find interesting and valuable content from a massive amount of information.
Advantages
Content Controllable Identifying unqualified content is key for UGC websites. AI technologies are used to identify violations and reduce operation risks.
Tagging Content Identifies content scenarios, characters, voice, and text to classify tags in a hierarchical form.
Identifying User Preferences Analyzes user preferences based on user behaviors.
E-commerce Recommendations
Estimates product similarity based on users' purchased products and updates candidate lists in real time, improving user experience.
Advantages
Easy to Use Provides templates (that define data input formats, algorithms, and process) to simplify the configuration process.
Elastic Scaling Supports high concurrency and second-level expansion of computing capabilities.
Solution Architectures Solution Architectures
Technical Advantages Technical Advantages
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AI Technologies
AI technologies are used to audit content, tag items, and personalize precision matching and sorting.
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Real-Time Big Data Analysis
The Huawei Cloud big data platform updates users' interest information in real time based on second-level user behavior analysis.
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Service HA
The Huawei Cloud UPredict platform supports ABTest, brings algorithm models online with just one click, and provides high concurrency, second-level scaling, and high-reliability services.
