Listing Thumbnail

    Recommend HQ Launch Pack

     Info
    Deployed on AWS
    Set up a ready-to-go recommendation system with the Recommend HQ launch pack. Utilize the CDK stacks to automate the configuration of AWS Personalize and related services, manage datasets, handle log rotation, schedule solution version training, and apply best practices of a serverless recommendation system.

    Overview

    Recommend HQ is a comprehensive solution designed to enhance Amazon Personalize, enabling customers to build personalized recommendation platforms for their enterprises. By installing the Recommend HQ Launch Pack, customers can effortlessly create serverless recommendation applications tailored to various use cases.

    The Recommend HQ Launch Pack includes tools for schema generation, dataset management, log rotation, scheduled solution version creation, generative AI integration, business logic integration, and deployment. It also provides APIs for managing datasets and generating recommendations.

    The schema generator creates Amazon Personalize schemas based on sample datasets provided by users and applies necessary data engineering when the data is fed into AWS Personalize.

    The dataset management API stores item metadata in a DynamoDB table in addition to the Personalize dataset, allowing users to retrieve full item metadata when requesting recommendation results.

    The logging API records data to both the Amazon Personalize Event Tracker and AWS Data Firehose. The Data Firehose saves events to S3, enabling the rotation of outdated logs during scheduled full solution version updates and allowing further analysis using AWS Athena. To maximize recommendation performance, Recommend HQ also performs feature engineering on the dataset to ensure optimal compatibility with Amazon Personalize.

    To fully leverage the benefits of your recommendation system with our generative AI and business logic integration features, or if you require additional customization, please contact our professional services.

    Highlights

    • Empower Amazon Personalize and related services with our all-in-one CDK stack

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 22.04

    Deployed on AWS

    Unlock automation with AI agent solutions

    Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
    AI Agents

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Recommend HQ Launch Pack

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (4)

     Info
    Dimension
    Cost/hour
    t3.medium
    Recommended
    $0.00
    t3a.large
    $0.00
    t3.large
    $0.00
    t3a.medium
    $0.00

    Vendor refund policy

    No refunds are provided, but you can cancel your subscription at any time through AWS Marketplace. Canceled subscriptions will remain active until the end of the current billing cycle.

    How can we make this page better?

    We'd like to hear your feedback and ideas on how to improve this page.
    We'd like to hear your feedback and ideas on how to improve this page.

    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. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    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

    Feat

    • sqs: implement sqs mechanism in update dataset group cronjob
    • command: add version command
    • command: add config sync command

    Fix

    • api: replace random with secrets
    • command: fix schema generation command
    • stack: conditionally create or use existing CloudWatch role
    • stack: app tags
    • command: handle missing solution version error
    • stack: clean up CloudWatch role when API stack is deleted

    Additional details

    Usage instructions

    Support

    Vendor support

    Want to learn more about how Headquarter.ai can help drive innovation in your organization? We'd love to talk.

    www: https://www.headquarter.ai/  email: bd@headquarter.ai 

    AWS infrastructure support

    AWS 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.

    Similar products

    Customer reviews

    Ratings and reviews

     Info
    0 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    0%
    0 AWS reviews
    No customer reviews yet
    Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.