May 28, 2022
In 2021, the organic search of Seznam.cz was enhanced with semantic vectors. These form a separate branch to the traditional term search and allow retrieving documents that do not have a textual match with the query but are semantically relevant to it. The so-called vector branch comprises new vector indices that allow for fast retrieval of tens of thousands of potentially semantically-relevant documents which are further filtered using features computed by more computationally expensive Siamese BERT-based models. The deployment of the vector branch was the biggest technology change of the organic search of the last 10 years and improved overall search quality significantly. In the talk, I will describe the main components of the overall architecture and discuss the models behind it more thoroughly.
Machines can learn. Incredibly fast. Faster than you. They are getting smarter and smarter every day. They are already changing your world, your business and your life. Artificial intelligence revolution is here. Come and learn how to turn this threat into your biggest opportunity. This is not another academic conference. Our goal is to foster discussion between machine learning practitioners and all people who are interested in applications of modern trends in artificial intelligence. You can look forward to inspiring people, algorithms, data, applications, workshops and a lot of fun during three days as well as at two great parties.
Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%
Presentations on similar topic, category or speaker