Recommendation systems based on a image and text similarity
Besides traditional recommender systems that use collaborative filtering to recommend items that users frequently bought together, Velebit AI offers item-to-item recommenders that use images and text processed with deep learning to recommend most similar items (based on visual similarity, text, or combination of both).
Visual Recommender is a recommender system heavily based on image search. It uses the visual similarity of items as one of many criteria for recommendations. This makes browsing through large product catalogs more intuitive and engaging.
Velebit AI builds hybrid models, combining text and images to generate an item representation. This way we can use the same representation for different categories: services category will use more of text representation, whereas fashion might use more image represetation.
Velebit AI offers custom AI-facilitating plugins for ElasticSearch, Solr, Postgres and MySQL. This way you can seamlessly integrate our text or vision-based services to your existing searches in your DB. No need to migrate your data, or use a new system. Our plugins will deliver fast and efficient queries on the predictions of our AI systems.
Meet our highly experienced team, who loves to build AI and design its surroundings to incorporate it in your business. Find out how much you can benefit from our fair and open approach.
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