DeepRecs

DeepRecs

Algonomy
MatConvNet

MatConvNet

VLFeat
+
+

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About

DeepRecs makes recommendations for 'Similar Products' and ‘Complete the Look’ using product images and without manual merchandising. It leverages convolutional neural networks to detect and extract feature vectors and graph visual similarities between products. Further, DeepRecs helps shoppers discover new, seasonal, niche, and long-tail products—that otherwise remain buried due to lack of historical data—using NLP algorithms that leverage catalog descriptions and other textual data.

About

The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching. Algorithms include Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. MatConvNet is a MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications. It is simple, efficient, and can run and learn state-of-the-art CNNs. Many pre-trained CNNs for image classification, segmentation, face recognition, and text detection are available.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Retail, ecommerce

Audience

Anyone in need of a deep learning software

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Algonomy
Founded: 2020
United States
algonomy.com/omnichannel-personalization/deep-recommendations/

Company Information

VLFeat
United States
www.vlfeat.org/matconvnet/

Alternatives

Alternatives

Optimizely One

Optimizely One

Optimizely
DataMelt

DataMelt

jWork.ORG
LiveLink for MATLAB

LiveLink for MATLAB

Comsol Group
MATLAB

MATLAB

The MathWorks

Categories

Categories

eCommerce Personalization Features

A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights

Deep Learning Features

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Integrations

Algonomy
Algonomy Campaign
Algonomy Discover
Algonomy Engage
Algonomy Find
Algonomy Real-time Customer Data Platform
Algonomy Recommend
Algonomy Social Proof Messaging

Integrations

Algonomy
Algonomy Campaign
Algonomy Discover
Algonomy Engage
Algonomy Find
Algonomy Real-time Customer Data Platform
Algonomy Recommend
Algonomy Social Proof Messaging
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