Personalized Recommendation System-Ruihe Data Technology Holdings Limited-

Personalized Recommendation System

Ruihedata Personalized Recommendation System

PERSONALIZED RECOMMENDATION SYSTEM

Ruihedata PRS comprehensively manages and operates content recommendations in mobile apps and online placements, such as Recommendation Today, You Might Like This, Smart Ads, Smart Alerts, etc., making the recommendations highly personalized, automated, and intelligent. Its decision engine digs into customer profile data and hot-spot data, applies a set of recommendation strategies and makes arbitration among options, so as to present customers products, service and content according to their preference. This mechanism maximizes alignment between product and service recommendations and customer demands.

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Personalized Online Operation

Thousands Of People Online

Display the comprehensive decision-making of marketing column, customer group, marketing and optimiz

Ruihedata PRS supports enterprises and financial institutions with the registration, management, and operation of various marketing placements, including mobile apps and such online channels as message notification, advertising space, application features and products. As the entrance of marketing traffic, online placements are important resources to win competition, making it imperative to better manage these placements and their traffic. Personalized marketing operation starts with marketers applying for traffic from these placements according to business needs, to be verified and scheduled by marketing resources administrators. Upon verification, marketers can activate personalized recommendation strategies for the placements. When customers access the marketing placements online, PRS shows them the results of its comprehensive decision-making mechanism by taking into consideration placement, customer profile, marketing strategy, optimization strategy and other factors.

Fully Systematic Recommendation Strategies and Arbitration

Comprehensive & Systematic Recommendation Strategy & Arbitration

Automatically supplement silent recommendations to maximize the use of fields and maximize marketing

Ruihedata PRS supports the application, management, and flexible combination of various recommendation strategies, including white list, expert rule, offline model, and online model. The decision engine of PRS runs traffic diversion calculation among recommendation strategies based on factors such as customer profile, behavior pattern, preference, placement and product information. A list of candidate recommendations is thus generated, subject to arbitration by the decision engine. It filters invalid recommendations and merges duplicated ones, optimizes the remainders against a blacklist and by the order of content priority, organizational priority, and strategy priority, before producing a final list of recommendations. If there are inadequate recommendations for the final list, the system automatically fills in with default ones. This ensures maximal utility of placements and best marketing effects.

AI Model Support

Support various recommendation strategies such as online and offline AI models

Big data and AI models can be applied to forecast customer intent, including changes in customer life-cycle, product preference, format and content of interaction, etc. Its value is manifest in customer profiling, precision marketing, lead mining, and other scenarios.

REAL-TIME RECOMMENDATION

Real-time Recommendation

With traffic diversion processing technology and its powerful hybrid decision engine, Ruihedata PRS takes recommendation decisions quickly and efficiently and processes high concurrent requests in real time. Capable of end-to-end real-time recommendation processing from request for recommendation, request data integration, hybrid decision-making, to results arbitration and aggregation, it ensures just-in-time delivery of results.

Timeliness

时效性

Safety Management

安全管理

Node Process

节点流程

Real-time Processing

实时处理

Mixed Decision

混合决策

Automated Traffic Management

Traffic management and automatic operation of each marketing column in marketing activities

When marketers initiate a campaign, they can configure its duration and marketing traffic (such as the number of exposure, visits, etc.). When the preset traffic target is reached, the system automatically switches to other campaigns. This enables effective use of traffic for marketing placements and maximizes return on resources.