Amazon Sagemaker
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
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Product Recommender for Retail
By:
Latest Version:
3.2
This solution uses collaborative filtering to recommend top items for users based on their buying patterns.
Product Overview
Product Recommender finds similarities between users and items simultaneously to provide targeted recommendations. It analyzes information on users' buying patterns and recommends products to each user based on similarity with other users. Knowing the products which have high chance of being in customers' wish-list can be advantageous for an e-commece website or any retail store.
Key Data
Version
By
Categories
Type
Model Package
Highlights
Anticipate product recommendation for targeted marketing, increasing cross-sell and for making promotions more effective.
Helps users discover new interests based on purchase pattern similarity with other users. Can be applied in movies & songs websites, retail stores and e-commerce websites.
Mphasis HyperGraf is an omni-channel customer 360 analytics solution. Need customized Deep Learning/NLP solutions? Get in touch!
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Pricing Information
Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.
Contact us to request contract pricing for this product.
Estimating your costs
Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.
Version
Region
Software Pricing
Model Realtime Inference$8.00/hr
running on ml.m5.large
Model Batch Transform$16.00/hr
running on ml.m5.large
Infrastructure PricingWith Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
SageMaker Realtime Inference$0.115/host/hr
running on ml.m5.large
SageMaker Batch Transform$0.115/host/hr
running on ml.m5.large
Model Realtime Inference
For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.InstanceType | Realtime Inference/hr | |
---|---|---|
ml.m4.4xlarge | $8.00 | |
ml.g4dn.4xlarge | $8.00 | |
ml.m5.4xlarge | $8.00 | |
ml.m4.16xlarge | $8.00 | |
ml.m5.2xlarge | $8.00 | |
ml.p3.16xlarge | $8.00 | |
ml.r5.large | $8.00 | |
ml.g4dn.2xlarge | $8.00 | |
ml.m4.2xlarge | $8.00 | |
ml.r5.12xlarge | $8.00 | |
ml.c5.2xlarge | $8.00 | |
ml.r5.xlarge | $8.00 | |
ml.p3.2xlarge | $8.00 | |
ml.c4.2xlarge | $8.00 | |
ml.g4dn.12xlarge | $8.00 | |
ml.m4.10xlarge | $8.00 | |
ml.c4.xlarge | $8.00 | |
ml.m5.24xlarge | $8.00 | |
ml.c5.xlarge | $8.00 | |
ml.g4dn.xlarge | $8.00 | |
ml.r5.24xlarge | $8.00 | |
ml.p2.xlarge | $8.00 | |
ml.m5.12xlarge | $8.00 | |
ml.g4dn.16xlarge | $8.00 | |
ml.p2.16xlarge | $8.00 | |
ml.c4.4xlarge | $8.00 | |
ml.r5.4xlarge | $8.00 | |
ml.c5.large | $8.00 | |
ml.m5.xlarge | $8.00 | |
ml.c5.9xlarge | $8.00 | |
ml.m4.xlarge | $8.00 | |
ml.c5.4xlarge | $8.00 | |
ml.p3.8xlarge | $8.00 | |
ml.c4.large | $8.00 | |
ml.m5.large Vendor Recommended | $8.00 | |
ml.c4.8xlarge | $8.00 | |
ml.p2.8xlarge | $8.00 | |
ml.g4dn.8xlarge | $8.00 | |
ml.t2.xlarge | $8.00 | |
ml.c5.18xlarge | $8.00 | |
ml.t2.large | $8.00 | |
ml.r5.2xlarge | $8.00 | |
ml.t2.medium | $8.00 | |
ml.t2.2xlarge | $8.00 |
Usage Information
Model input and output details
Input
Summary
A csv file with details around historical order and SKU details for the items purchased by individual customers.
Input MIME type
text/csv, text/plainSample input data
Output
Summary
A csv file with recommended SKU against the customer id
Output MIME type
text/csv, text/plainSample output data
Sample notebook
Additional Resources
End User License Agreement
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Support Information
Product Recommender for Retail
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Customer Reviews
model issue
View allCan not get support really strange issue
Oct 11, 2022Verified purchase review from AWS Marketplace
Computing the msd similarity matrix...
/usr/local/lib/python3.6/dist-packages/werkzeug/filesystem.py:60: BrokenFilesystemWarning: Detected
a misconfigured UNIX filesystem: Will use UTF-8 as filesystem encoding instead of 'ascii'... Read more
/usr/local/lib/python3.6/dist-packages/werkzeug/filesystem.py:60: BrokenFilesystemWarning: Detected
a misconfigured UNIX filesystem: Will use UTF-8 as filesystem encoding instead of 'ascii'... Read more
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