Amazon Personalize

Amazon Personalize

By: Vowpal Wabbit

Amazon Personalize is a service that helps the developers in creating recommendations for the customers. This service makes use of machine learning technology. It helps in building personalization systems. It can also make use of the demographics related information for creating such systems.

Based on 13 Votes
Top Amazon Personalize Alternatives
  • MATLAB
  • Protégé
  • Sparkling Water
  • Theano
  • Apache Storm
  • IBM Watson Studio
  • Azure Machine Learning Studio
  • Domino Data Lab
  • Big Squid
  • Plotly
  • FloydHub
  • Apache Mahout
  • Wipro Holmes
  • Amazon SageMaker
  • BigML
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Top Amazon Personalize Alternatives and Overview

1

MATLAB

MATLAB is a data science and machine learning-based development toolkit that processes iterative formulas into computer-based processes.

By: MathWorks
Based on 3 Votes
2

Protégé

By: shaman
Based on 10 Votes
3

Sparkling Water

By: AWS
Based on 2 Votes
4

Theano

Theano is a vast online library that is based on the Python programming language.

By: Statistiker
Based on 1 Vote
5

Apache Storm

The Storm from Apache can be best defined as a computational framework that is made to utilize high-performance distributed systems and perform complex operations with large amounts of fed data.

By: machine-learning in Python
Based on 11 Votes
6

IBM Watson Studio

IBM Watson Studio is a system offered by IBM which helps the users in data analytics and management.

By: IBM
Based on 5 Votes
7

Azure Machine Learning Studio

This GUI-based integrated platform assists developers and data scientists throughout the development lifecycle and helps...

By: Microsoft
Based on 15 Votes
8

Domino Data Lab

It allows the data scientists to process a vast amount of information with its platform...

By: Domino Data Lab
Based on 4 Votes
9

Big Squid

It offers to consult for executives and business stakeholders to make optimized decisions and reap...

By: Super Learner
Based on 11 Votes
10

Plotly

By: Plotly
Based on 6 Votes
11

FloydHub

It eliminates the burden of downloading the data every time you change a workplace and...

By: MLKit
Based on 11 Votes
12

Apache Mahout

It is known for producing various implementations of distributed or algorithms that are focussed on...

By: XGBoost
Based on 10 Votes
13

Wipro Holmes

Wipro offers computing solutions that help users in redefining the operations and re-imagining the consumer...

By: Wipro
Based on 1 Vote
14

Amazon SageMaker

All steps involved in the process are trackable, and it provides assistance and automation for...

By: AWS
Based on 11 Votes
15

BigML

Their idea is to make data-driven decisions making suitable to all...

By: Classifier
Based on 22 Votes

Amazon Personalize Review and Overview

Real-time personalization is the need of the hour as it delivers customized content to different visitor groups of your site. It collects the information from unidentified visitor’s IP addresses and then makes use of this information to categorize users on the basis of business demographics. Amazon Personalize helps in providing this real-time personalization.

Overview

This service gives you the activity stream like page views, clicks, etc. from your applications. It also provides you with the inventory of those things which you want to recommend. It will analyze the data and extracts meaningful information from it. After this, it will apply relevant algorithms on this information to build a personalization model that will be in accordance with your requirements. You can use this model with the help of an API call. The payment is made on the basis of what you use.

Working

It makes use of the data to train the model, and this data is stored in datasets. The trained model is known by the name Solution Version. This Solution Version can be used in campaigns for marketing. The model can be further retrained on the basis of new data available. This new data becomes available with real-time user data. Amazon Personalize contains three components, namely Amazon Personalize, Amazon Personalize Events, and Amazon Personalize Runtime. The first component is used for creating and deploying the Solution Version. The second component is used to record user events, which will be used for training the model. The last component is used for getting recommendations from a campaign.

Security

It contains guidelines and regulations for the protection of the data. It manages the configuration controls. It makes use of the multi-factor authentication technique. It uses the secure socket layer to communicate with the AWS resources. It works with Identity and Access management policies of AWS to provide security.

Benefits

It helps in creating recommendations of high-quality. It provides you real-time recommendations. It completes the process in a few days. These recommendations can be integrated into the apps, websites, and marketing systems with the help of an API call.

Company Information

Company Name: Vowpal Wabbit