Intelligent search recommendation integrated revenue growth solution

Introduction to graph database GDB provides one-stop service for intelligent search recommendation. Based on Dharma Academy's intelligent search recommendation algorithm and knowledge graph technology, it helps enterprises to quickly transition to the cold start process and customize solutions for business scenarios to improve core business indicators , To achieve business revenue growth.

Solution architecture

Program features

• Intelligent algorithm solves the challenge of data deviation and interest transfer. Intelligent algorithm solves the problem of data missing and data deviation caused by factors such as product exposure, user selection bias and herd mentality. At the same time, it solves problems such as changes in user interest due to time series changes. The user recommends the product that the user wants.
• Multi-strategy recall in-depth mining of user preferences Based on a variety of algorithm strategies to capture user, product and behavior characteristics, combined with meta-path and graph neural network algorithms to achieve personalized recommendations for thousands of people, and with interpretability.
• Knowledge graph helps marketing revenue growth. With the help of knowledge graph technology, we can accurately understand the interaction behavior between users and products, and use the information generated by the interaction behavior to find operable factors to help business marketing revenue increase.
• Open interfaces support customized business scenarios. Open interfaces are provided to support enterprises to customize personalized solutions based on business scenarios, such as setting a whitelist or blacklist, which can be used in scenarios such as large-scale promotions.

Solution advantage

• Provide one-stop search and recommendation services to integrate search and recommendation to provide one-stop services, accurately understand user intent and provide personalized intelligent recommendations, and push what users think.
• Combining knowledge map technology and data precipitation. Using knowledge map technology, it integrates the rich strategies and data precipitation of Alibaba e-commerce to provide intelligent services driven by industry knowledge and covering multiple scenarios.
• Effectively improve core business revenue indicators for user business scenarios, empowered by intelligent algorithms and strategies, and at the same time support users' customized needs for some business scenarios, and effectively increase revenue indicators.

Can solve the problem

• Optimize search matching effect.
• Accurate distribution and recommendation by thousands of people.
• New products and users quickly cold start.
• Support scenario-based customization of solutions.

Application scenario

E-commerce, new retail or pan-recommendation: Accurately understand user search intent, personalized recommendation and distribution of thousands of people, and effectively improve GMV revenue indicators.

Solution example

A luxury e-commerce company integrates intelligent search recommendation service into its core search business. The intelligent search recommendation service helps customers optimize search recommendation results, and creates a personalized recommendation program that "guess you like", so that the new users of the e-commerce company can average GMV (Gross Merchandise Volume) increased by 61.88%, and the average click-through rate increased by 18.44%.

How to apply

The trial activity of the smart search recommended integrated revenue growth program is online, you can log in to (trial application) The smart search recommended integrated revenue growth program applies for trial (the RAM account trial is not supported), please refer to apply for smart search for details Recommended solution service .

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