Overview

Powered by Alibaba’s leading big data and artificial intelligence technologies, Alibaba Cloud Artificial Intelligence Recommendation (AIRec) provides personalized recommendation services for enterprises and developers. It is built on service accumulations in a variety of industries, such as e-commerce, content, news, livestreaming, and social media. AIRec helps you associate users with items and content to achieve efficient algorithm-based recommendations.

Real-Time Recommendation Experience

Captures and analyzes user behavior in seconds and provides personalized recommendations within milliseconds. AIRec supports more than 1,000 QPSs. Users can refresh the page to view the latest recommended content.

Industry-Specific Algorithm Templates

Provides industry-specific algorithm templates and business-specific item selection and launching policies for scene recommendation. You can use algorithm models to implement fine-grained configurations to suit your business requirements.

High-Performance Cold Start

Improves user experience based on industry templates and real-time positive and negative feedback. This functions when no historical behavioral data is available in the early stage of the service release.

Benefits

Ease of Use

An end-to-end solution to stream processing that provides O&M and management. You can create an AIRec instance in a few hours. Provisioning of End-to-End Features Provides a series of auxiliary features throughout data interaction, testing, debugging, effect observation, and stable use. No extra development is required. In-Depth Customization of Industry and Scene Templates Provides differentiated, well-suited industry models and strategies by leveraging the rich experience of Alibaba in various industries and scenarios. One-Step Personalized Recommendations Delivers excellent user experience and provides real-time recommendations on Taobao’s homepage based on industry adaptation and upgraded recommendation algorithms.

Excellent Recommendation Effect and Performance

AIRec has proven its excellent recommendations and performance over many Double 11 promotional events. During these events, the AIRec architecture and algorithm models are used to handle high concurrent queries and large amounts of behavioral data. Excellent Initial Effect Regularly iterates industry templates to ensure the initial effect on the use of AIRec and user experience. AIRec can provide a recommendation performance that is 20% to 100% higher than self-managed algorithms. Flexible Extension Provides a variety of features based on years of business operations experience and combines operations logic with recommendation algorithms to open platform capabilities and implement rapid business customization. High Security and Reliability Isolates user data, encrypts sensitive information, delivers stable and reliable services, and responds to requests in milliseconds.