Product Advantages
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AI Technologies
RES provides AI-powered content moderation and content tag extraction. Algorithms such as collaborative filtering, CTR estimation, and deep learning, come built in. RES greatly lowers the technical threshold for users and substantially improves the recommendation effects.RES provides AI powered content moderation and content tag extraction. Algorithms such as collaborative filtering, CTR estimation, and deep learning, come built in. RES greatly lowers the technical threshold for users and substantially improves the recommendation effects. -
Real-Time Big Data Analysis
RES leverages other big data services to update user/item profiles and retrieve candidate sets down in just seconds. By exploring user interests in a large data pool, and by capturing user changes in real time, RES helps enterprises provide precise recommendations at exactly the moment they are needed.RES leverages other big data services to update user/item profiles and retrieve candidate sets down in just seconds. By exploring user interests in a large data pool, and by capturing user changes in real time, RES helps enterprises provide precise recommendations at exactly the moment they are needed.
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Service HA
Facilitated by containerization technologies, RES enables enterprises to quickly build online services and adjust the number of instances deployed as needed. Featuring high concurrency and low latency, RES provides online A/B testing, more agile than simply comparing different recommendation strategies.Facilitated by containerization technologies, RES enables enterprises to quickly build online services and quickly adjust the number of instances deployed as needed. Featuring high concurrency and low latency, RES provides online A/B testing, more agile than simply comparing different recommendation strategies. -
Openness and Controllability
RES has inherited Huawei's wealth of experience with recommendations over many years and provides a wide range of operators. With RES, enterprise users can gain full control of their recommendation processes and get to keep their business data safe, secure, and in-house.RES has inherited Huawei’s wealth of experience with recommendations over many years and provides a wide range of operators. With RES, enterprise users can gain full control of their recommendation processes and get to keep their business data safe and secure, in-house.
Functions
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Feature Engineering
RES uses feature engineering to design user/item profiles based on raw data provided by enterprise users. This user data also provides the critical inputs needed for testing and training recommendation models.
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Profile Update
RES can update user/item profiles, capturing changes in user interest and adjusting recommendation strategies in real time based on real-time inputs.
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Retrieval Strategy
RES has multiple built-in retrieval strategies. You can choose a retrieval strategy or a combination of strategies that best suit your requirements.
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Ranking Strategy
RES has multiple built-in ranking strategies. You can choose a ranking strategy that delivers a more appropriate content/item ranking sequence in a retrieved candidate set.
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Filter Rule
RES provides a range of different filters. You can create blacklists, whitelists, or filters for specific behaviors. Enterprise users can create rules tailored to specific business environments, and thereby improve security and user experience.
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Effectiveness Evaluation
RES can evaluate the effectiveness of the recommendations, providing you with quantitative data so that you can adjust recommendation strategies if you find that recent recommendations fail to meet the expectations.
Application Scenarios
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Content Recommendations
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E-commerce Recommendations
RES extracts content tags and analyzes user preferences based on their behaviors, which helps users quickly find the valuable content they are interested in, without getting lost in a sea of data.
Advantages
One important task for UGC websites is to identify illegal content. RES uses AI to reduce operational risk.
RES is able to use multi-dimensional tags to analyze scenarios, people, voices, and text content.
RES analyzes user interests based on content tags and user behaviors.
RES can calculate the similarity between commodities based on the use histories. Candidate lists can be updated in real time, and the user experience and user conversion rate can both be improved.
Advantages
RES has built-in e-commerce templates of input data formats, algorithms, and online flows. You can start with a template, make a few small changes, and be ready to go.
For e-commerce enterprises, if there is a sudden surge in demand, RES can be scaled up in just seconds.
