Stanislav Livotov

We live in a multicultural society with more than 7 000 languages spoken across the world today. To better serve the needs and preferences of global consumers, retailers need to understand the unique nuances and characteristics of the diverse languages their customers speak. It is no longer enoug...

These days, when machine learning-based result ranking becomes a de-facto standard for e-commerce search implementations, it still relies on the high quality of the matching. No matter how sophisticated your ML ranking algorithm is, if relevant products are not retrieved from the search index, it w...

In the  previous article we discussed the Endeca rules model and explained how to re-implement this model using Elasticsearch. We needed to implement inverted search to trigger our rules and we leveraged powerful percolator feature in Elasticsearch which greatly simplified our implementation...