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Accudy | Digital Marketing Web Design And eCommerce Agency In Central London Victoria Westminster UK

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SERVICES

>> eCommerce Consultancy
>> Ecommerce UX Audit
>> Migration to Magento
>> GDPR Compliance
Magento Agency
Managed Magento Support
System Integrations
Progressive Web Apps
Magento Agency
Dedicated Magento Developers
Managed Magento Support
System Integrations
Progressive Web Apps

Solutions

>> eCommerce Consultancy
>> Ecommerce UX Audit
>> Migration to Magento
>> GDPR Compliance
Magento Agency
Managed Magento Support
System Integrations
Progressive Web Apps
Magento Agency
Dedicated Magento Developers
Managed Magento Support
System Integrations
Progressive Web Apps
Edit
Emergency Support

SERVICES

>> eCommerce Consultancy
>> Ecommerce UX Audit
>> Migration to Magento
>> GDPR Compliance
Magento Agency
Managed Magento Support
System Integrations
Progressive Web Apps
Magento Agency
Dedicated Magento Developers
Managed Magento Support
System Integrations
Progressive Web Apps

Solutions

>> eCommerce Consultancy
>> Ecommerce UX Audit
>> Migration to Magento
>> GDPR Compliance
Magento Agency
Managed Magento Support
System Integrations
Progressive Web Apps
Magento Agency
Dedicated Magento Developers
Managed Magento Support
System Integrations
Progressive Web Apps

Visual Recommendation system

Image-based recommendation system which recommends products based on their visual similarity.

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1. ADVANTAGES

There is no need for a priori data thanks to transfer learning. The only required component from stores is a database of the product images to feed the model, so it's possible to build a working demo of this recommendation system for your store within a day.

2. DEVELOPMENT OPPORTUNITIES

Adding filtering based on attributes would enhance the performance of the system. For example if we filter by category, we can recommend products for men and women separately from the category. This way, a men’s t-shirt with flowers will not be recommended as a similar product for a woman viewing t-shirts with flowers for women. Product can be improved in the future given feedback is collected based on user clicks on the website. Items clicked from recommendation would be considered a successfully recommended item and therefore the system could learn from user engagement with the given recommendation.

3. APPLICATIONS

This system can be used to recommend visually similar products when looking for alternatives to the currently viewed item. It's perfect for a starting point, a so called cold start, in behavioral recommendations when there is not sufficient data gathered yet to suggest items based on user's search history.

HOW DOES IT WORK?​

We are using transfer learning from the field of image classification to extract features from new data.

WHAT IS TRANSFER LEARNING?

Transfer learning involves applying knowledge from one field in another field. In our recommendation system, we are using an already trained model and training only the top layers to adapt to new cases.

We do design, code & develop.

Web applications are the smaller, faster younger sibling of full-scale websites. Whether you're looking for superior mobile experiences or a stylish home for alternative products and campaigns, web applications can provide a unique solution to most challenges. We conduct extensive UX research to ensure that the end product is intuitive for its users and is able to meet their needs effortlessly. Through our unique discovery process and data gathering, we create designs based on facts, never assumptions.

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