Alibaba Cloud Artificial Intelligence Recommendation (AIRec) provides personalized recommendation services for global enterprises and developers. It is built on Alibaba's big data and artificial intelligence technologies. AIRec combines experience from various industries, such as e-commerce, content, news, ApsaraVideo Live, and social media. You can obtain a powerful, dedicated recommendation service by providing data in the specified format and making simple API calls.
Product introduction
Industry templates
AIRec provides recommendation solutions based on industry templates. AIRec currently offers templates for the e-commerce, content, and news industries. New industry templates will be added based on customer demand.
E-commerce industry
This template is for the e-commerce industry. It recommends items with commercial properties, such as logistics and sales information. The goal is to drive direct purchases and achieve a high click-to-purchase rate. Common applications include Taobao, Tmall, and Xianyu.
Content industry
This template is for content sharing platforms. It recommends content with social properties, such as likes and forwards. The content can be short text, articles, images, or a combination of these types. Common applications include Taobao Toutiao and product discovery communities.
News industry
This template is for the news industry. It recommends items with news properties, such as author, publication region, and time. This content type is a form of information dissemination that is highly time-sensitive. A common application is UC Toutiao.
Service types
Guess You Like
This service is used when an end user's browsing intent is unclear. AIRec learns from the user's long-term and short-term behaviors to understand their interests. It then recommends a diverse range of content. This helps users explore new topics and discover new items. It is commonly used on homepages and category pages.
Related recommendations
This service is used when an end user's interest is clear. When a user focuses on one or more items or articles, AIRec analyzes large amounts of user behavior data to identify and recommend dynamically related content. It also recommends statically related content based on the similarity of properties and features between items. It is commonly used on product pages.
Product editions
The commercial editions of AIRec are the Industry-specific Operations Edition and the Algorithm Configuration Edition. For more information about the differences between these editions, see Selection guide.
Edition details: