DMetaSoul Recommendation Service
Sold by: 数元灵
DMetaSoul Personalized Recommendation Service
Overview
DMetaSoul personalized recommendation service, low code, full link, high accuracy personalized recommendation system. Based on advanced big data and artificial intelligence technology, it helps enterprises overcome code problems, build personalized recommendation systems easily and painlessly without ML expertise, increase click rate and retention rate, and help business growth.
Highlights
- Without an algorithm background, you can quickly deploy a personalized recommendation system through a low-code method, seamlessly connect with Amazon Web Services SageMaker, easy deployment, and low operation and maintenance costs
- Built on advanced AI technology, it makes full use of user interaction behavior, text descriptions, images, and visual information to deeply understand products and users
- Support various scenarios such as guess what you like, read and watch, post-purchase links, etc., empowers customers throughout the link, fully explores store value, and enhances the consumer purchasing experience
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
DMetaSoul Recommendation Service
Latest version
Operating system
Ubuntu 20.04 LTS
Pricing
DMetaSoul Recommendation Service
Pricing and entitlements for this product are managed through an external billing relationship between you and the vendor. You activate the product by supplying a license purchased outside of Amazon Web Services Marketplace China, while Amazon Web Services provides the infrastructure required to launch the product. Amazon Web Services Subscriptions have no end date and may be canceled any time. However, the cancellation won't affect the status of the external license.
Additional Amazon Web Services infrastructure costs may apply. Use the Amazon Web Services Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
No cancellations, no refunds
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. Amazon Web Services Marketplace China does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Usage information
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Release-v1.0:
- Visualize and create personalized recommendation scenarios with low code, and build industrial-grade recommendation services based on advanced AI models;
- You only need to configure the business table database information to automatically pull data, train models, and deploy online recommendation services;
- Seamlessly connect with Amazon Web Services SageMaker service, easy deployment, low operation and maintenance costs;
Additional details
Usage instructions
Link to the operating system via ssh, the default username is “ubuntu”. Access the web management interface through a browser https://PublicIP:8000 , username and password are WebLoginUser and WebLoginPassword filled in by the CloudFormation deployment user themselves,
For detailed user manuals, please visit: https://www.dmetasoul.com/resources/rec/%E5%85%83%E7%81%B5%E6%95%B0%E6%99%BA-%E4%B8%AA%E6%80%A7%E5%8C%96%E6%8E%A8%E8%8D%90%E6%9C%8D%E5%8A%A1%E4%BD%BF%E7%94%A8%E8%AF%B4%E6%98%8E.pdf
Resources
Support
Vendor support
Product trial and technical support: public-contact@dmetasoul.com
Amazon Web Services infrastructure support
Amazon Web Services Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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