• Pre-sales Consultant
  • 400-6240-800

Product Overview

The personalized system of PERCENT deeply observes user’s behaviors and establishes user’s preference view. It provides users with multi-screen, real-time and ”thousand face” personalized recommendation, and helps user get interested products, information and services to keep users active, improve clicks rate, retention rate and other key indicators.


Product Functions

Algorithm engine

The system presets collaborative filtering, association mining, hot list algorithm, logistic regression, deep learning and other kinds of online/offline algorithms to automatically configure optimal combination of algorithms for customer’s application scene. Besides, it supports extension and secondary development of algorithm.


Rule engine

The system presets more than a hundred rule modules to flexibly configure recommended strategies in different sites and columns, and quickly respond to business demands of different customers in different industries.


A/B strategy configuration

The system selects flow ratio and configure A/B strategy plan. It establishes algorithm model, optimizes and iterates rules through different effect analysis in different recommended strategies.

Data report display

Based on transformation funnel model, the system quantifies and evaluates multiple dimensions and indexes aiming at different sites, columns and strategies and directly displays and compares recommended effects.


Product Functions

Algorithm engine

The system presets collaborative filtering, association mining, hot list algorithm, logistic regression, deep learning and other kinds of online/offline algorithms to automatically configure optimal combination of algorithms for customer’s application scene. Besides, it supports extension and secondary development of algorithm.


Rule engine

The system presets more than a hundred rule modules to flexibly configure recommended strategies in different sites and columns, and quickly respond to business demands of different customers in different industries.


A/B strategy configuration

The system selects flow ratio and configure A/B strategy plan. It establishes algorithm model, optimizes and iterates rules through different effect analysis in different recommended strategies.

Data report display

Based on transformation funnel model, the system quantifies and evaluates multiple dimensions and indexes aiming at different sites, columns and strategies and directly displays and compares recommended effects.


Product Functions

Algorithm engine

The system presets collaborative filtering, association mining, hot list algorithm, logistic regression, deep learning and other kinds of online/offline algorithms to automatically configure optimal combination of algorithms for customer’s application scene. Besides, it supports extension and secondary development of algorithm.


Rule engine

The system presets more than a hundred rule modules to flexibly configure recommended strategies in different sites and columns, and quickly respond to business demands of different customers in different industries.


A/B strategy configuration

The system selects flow ratio and configure A/B strategy plan. It establishes algorithm model, optimizes and iterates rules through different effect analysis in different recommended strategies.

Data report display

Based on transformation funnel model, the system quantifies and evaluates multiple dimensions and indexes aiming at different sites, columns and strategies and directly displays and compares recommended effects.


Product Advantages

Support cloud deployment/local deployment

Based on B/S technical framework, PERCENT makes local and cloud distributed storage strategy plans for customers. The cost of cloud deployment is lower, and the upgrade process is smoother. Local deployment can ensure autonomous control of customer’s data and satisfy the needs for business customization.


Support cross screens and sites

PERCENT owns the patent of multi-user identification normalization. The system can integrate user’s behavior across the network by multi-screen, multi-site, multi-channel and multi-platform user and commodity opening management model and build users’ 360 degree panoramic view and make customized recommendations.


Dynamic and extendable algorithm strategy

The system provides standard interface and field specifications, and supports extension of rule base and its secondary development to help customers introduce and optimize all kinds of business rules. Meanwhile, it also supports algorithm extension and secondary development to fully utilize enterprise’s own ability of algorithm development.


Wide coverage of business scenes

Based on development and market practices for many years, we have established partnership with more than 1,500 enterprises in many fields of finance, news media, e-commerce, intelligent manufacturing and other industries. It can significantly improve customer’s business operation efficiency.


Support cloud deployment/local deployment

Based on B/S technical framework, PERCENT makes local and cloud distributed storage strategy plans for customers. The cost of cloud deployment is lower, and the upgrade process is smoother. Local deployment can ensure autonomous control of customer’s data and satisfy the needs for business customization.


Support cross screens and sites

PERCENT owns the patent of multi-user identification normalization. The system can integrate user’s behavior across the network by multi-screen, multi-site, multi-channel and multi-platform user and commodity opening management model and build users’ 360 degree panoramic view and make customized recommendations.


Dynamic and extendable algorithm strategy

The system provides standard interface and field specifications, and supports extension of rule base and its secondary development to help customers introduce and optimize all kinds of business rules. Meanwhile, it also supports algorithm extension and secondary development to fully utilize enterprise’s own ability of algorithm development.


Wide coverage of business scenes

Based on development and market practices for many years, we have established partnership with more than 1,500 enterprises in many fields of finance, news media, e-commerce, intelligent manufacturing and other industries. It can significantly improve customer’s business operation efficiency.


Support cloud deployment/local deployment

Based on B/S technical framework, PERCENT makes local and cloud distributed storage strategy plans for customers. The cost of cloud deployment is lower, and the upgrade process is smoother. Local deployment can ensure autonomous control of customer’s data and satisfy the needs for business customization.


Support cross screens and sites

PERCENT owns the patent of multi-user identification normalization. The system can integrate user’s behavior across the network by multi-screen, multi-site, multi-channel and multi-platform user and commodity opening management model and build users’ 360 degree panoramic view and make customized recommendations.


Dynamic and extendable algorithm strategy

The system provides standard interface and field specifications, and supports extension of rule base and its secondary development to help customers introduce and optimize all kinds of business rules. Meanwhile, it also supports algorithm extension and secondary development to fully utilize enterprise’s own ability of algorithm development.


Wide coverage of business scenes

Based on development and market practices for many years, we have established partnership with more than 1,500 enterprises in many fields of finance, news media, e-commerce, intelligent manufacturing and other industries. It can significantly improve customer’s business operation efficiency.


Application Scenario

The system integrates and analyzes internal and external data in the finance industry, extract user’s features, and realize accurate recommendation of financing product and finance & economy information to build a new retail marketing pattern to realize precision, real-time transformation, scene transformation, and ecological transformation of the finance industry.


The system can keep trace with user’s preference among these media contents by its multi-screen recommendation ability. Combined with user’s image system and abundant recommendation strategies, it can accurately grasp the user’s interest under the premise of not shrinking user’s perspective to realize flow transformation and improve customer loyalty.


The system continuously keeps trace with user’s behaviors in the shopping mall, such as browsing, clicking, adding commodity and sending order to provide recommended services based on user’s image and commodity image by multi-screen method in real time. It can effectively make use of recommended columns to greatly raise the exposure rate and promote the sales of “long tail” commodities.


The system makes individual suggestions to each page of the Internet television in real time, optimizes flow distribution structure of the whole film source base, reduces customer’s searching time for their interested video resources, increases user’s watching duration and improves their watching experience.


The system deploys individual recommendations on the critical pages of App store to help customers find out their preferred App more expediently so as to improve user’s usage experience and increase their downloading frequency. Through the individual push service, it can activate inactive users to visit the site again and improve customer loyalty.


Finance
News media

The system integrates and analyzes internal and external data in the finance industry, extract user’s features, and realize accurate recommendation of financing product and finance & economy information to build a new retail marketing pattern to realize precision, real-time transformation, scene transformation, and ecological transformation of the finance industry.


The system can keep trace with user’s preference among these media contents by its multi-screen recommendation ability. Combined with user’s image system and abundant recommendation strategies, it can accurately grasp the user’s interest under the premise of not shrinking user’s perspective to realize flow transformation and improve customer loyalty.


E-commerce
Internet television

The system continuously keeps trace with user’s behaviors in the shopping mall, such as browsing, clicking, adding commodity and sending order to provide recommended services based on user’s image and commodity image by multi-screen method in real time. It can effectively make use of recommended columns to greatly raise the exposure rate and promote the sales of “long tail” commodities.


The system makes individual suggestions to each page of the Internet television in real time, optimizes flow distribution structure of the whole film source base, reduces customer’s searching time for their interested video resources, increases user’s watching duration and improves their watching experience.


App store

The system deploys individual recommendations on the critical pages of App store to help customers find out their preferred App more expediently so as to improve user’s usage experience and increase their downloading frequency. Through the individual push service, it can activate inactive users to visit the site again and improve customer loyalty.


Inquiry

Name
Email
Mobile Number
Company Name
Inquiry Description

* Please provide correct mobile number for us to get back to you

Submit