Atita works as a Search Relevance Consultant at OpenSource Connections.
She develops, consults, and optimize Enterprise & E-commerce search engines for more than 10 years. She holds 2 Masters degrees in Computer Applications and Strategic Business Management. She specializes in search platform migration to the cloud, building index pipelines, custom component development, and tuning relevance. She has a keen interest in personalizing search and influencing customer interaction using NLP, ML, and AI.
Vespa is no more a 'new kid on the block' in the domain of search and big data. Everyone is wooed over reading about its capabilities in search, recommendation, and machine-learned aspects augmenting search especially for large data-sets. With so many great features to offer and so less documentation to how to get started on Vespa , we want to take an opportunity to introduce it to the lucene based search users.
We will cover about Vespa architecture , getting started , leveraging advance features , important aspects all in the analogies easier for someone with a fresh or lucene based search engines mindset.
The Search track is presented by OpenSource Connections