Building enterprise level personalized recommendation system based on PAI

Help you build an isolated network environment based on AliCloud, and customize the IP address range, network segment, routing table, gateway, etc; In addition, VPC on the cloud can also be interconnected with traditional IDC through leased line/VPN/GRE and other connections to build hybrid cloud services.

ECS (Elastic Compute Service) is an elastic and scalable computing service that helps you reduce IT costs, improve operation and maintenance efficiency, and focus more on core business innovation.

Massive, secure, low-cost and highly reliable cloud storage services provide 99.999999999999% data reliability. RESTful API can be used to store and access anywhere on the Internet. Capacity and processing capacity can be expanded elastically. Multiple storage types can be selected to comprehensively optimize storage costs.

The industry-leading log big data solution provides one-stop data collection, cleaning, analysis, visualization and alarm functions. Comprehensively improve massive log processing capacity, mine data value in real time, and intelligently help R&D/O&M/operation/security and other scenarios.

The highly reliable dual machine hot standby architecture and the seamlessly expandable cluster architecture meet the business requirements of high read/write performance scenarios and elastic capacity configuration.

Container image service (ACR for short) provides secure hosting and full lifecycle management of cloud native assets, supports efficient distribution of images in multiple scenarios, integrates seamlessly with container service ACK, and creates a one-stop solution for cloud native applications.

MaxCompute (formerly ODPS) is a big data computing service that can provide a fast, fully hosted PB level data warehouse solution, enabling you to analyze and process massive data economically and efficiently.

The DataHub service is a streaming data service provided by Alibaba Cloud. It provides the functions of publishing and subscribing streaming data, allowing you to easily build analysis and applications based on streaming data.

Alibaba Cloud machine learning platform PAI (Platform of Artificial Intelligence) provides one-stop services for traditional machine learning and deep learning from data processing, model training, service deployment to prediction.

Hologres is an interactive analysis product independently developed by Alibaba. It is compatible with PostgreSQL 11 protocol, seamlessly connected with big data ecology, and supports high concurrency and low latency analysis and processing of petabyte data. With the continuous enrichment of data collection methods, enterprises are becoming more and more information-based, and the amount of data held by enterprises is growing at TB, PB or EB levels. At the same time, the rapid promotion of data middle office makes data applications mainly serve core business services such as data support, user profiles, real-time circle of people and accurate advertising. High reliability and low latency data services become the key to enterprise digital transformation

CADT is a self-service cloud architecture management product for cloud applications, which significantly reduces the difficulty and time cost of cloud management. This product provides a wealth of prefabricated application architecture templates, and also supports self-service drag and drop to define the application cloud architecture; Support the configuration and management of more AliCloud services. Users can easily manage the cost, deployment, operation and maintenance, and recovery of the cloud architecture scheme throughout its life cycle.

EAS (Elastic Algorithm Service) is a model online prediction service on the PAI platform, which supports model loading of heterogeneous hardware (CPU/GPU) with high throughput and low latency; Support one click deployment of large-scale complex models and real-time elastic expansion and reduction of capacity; Provide a complete operation and maintenance monitoring system.

The recommended full link in-depth customization development platform PAIREC is a platform level service suitable for enterprise developers to independently build, develop, iterate, operate and maintain a complete set of recommendation systems. According to the offline, near line and real-time data links of the recommendation system, the engineering architecture, and the mainstream recall, sorting, and exploration model applications in the recommendation technology field, all the modules and links involved rely on the Alibaba Cloud Apsara big data architecture. Developers can flexibly select models based on enterprise technology stacks and development habits, and flexibly develop, debug Release, etc., and combine the capabilities of the experimental platform to significantly improve the iteration efficiency of the recommendation system. The pure white box development mode will bring developers a more transparent, controllable and flexible development experience. In addition, if the enterprise recommendation algorithm and engineering team construction are relatively young, we suggest that at the initial stage of docking, we use the algorithm model customized by the Alibaba algorithm team based on the industry to start the service. On the one hand, it can help enterprises complete the deployment of the complete recommendation system in a short period of time, and on the other hand, it can help enterprise developers quickly start and independently complete model training and effect evaluation. If Alibaba engineers are required to provide in-depth tuning customization and experience sharing, they can also carry out in-depth cooperation through business negotiation and communication. It is recommended that the full link in-depth customization development platform PAIREC deeply integrates the following services/frameworks of Alibaba Cloud to build a recommendation system with stable performance and high-quality effects.