Berlin Buzzwords 2023
Berlin Buzzwords is Germany’s most exciting conference on storing, processing, streaming and searching large amounts of digital data, with a focus on open source software projects.
Location: Kulturbrauerei, Berlin
Date: 18th-20th June 2023
FIRST TALK
Introducing Multi-valued Vector Fields in Apache Lucene
19th June - 2:00 PM [40 min]
Since the introduction of native vector-based search in Apache Lucene happened, many features have been developed, but the support for multiple vectors in a dedicated KNN vector field remained to explore. Having the possibility of indexing (and searching) multiple values per field unlocks the possibility of working with long textual documents, splitting them in paragraphs and encoding each paragraph as a separate vector: scenario that is often encountered by many businesses. This talk explores the challenges, the technical design and the implementation activities happened during the work for this contribution to the Apache Lucene project. The audience is expected to get an understanding of how multi-valued fields can work in a vector-based search use-case and how this feature has been implemented.
OUR SPEAKER
Alessandro Benedetti
FOUNDER @ SEASE
APACHE LUCENE/SOLR COMMITTER
APACHE SOLR PMC MEMBER
Senior Search Software Engineer, his focus is on R&D in Information Retrieval, Information Extraction, Natural Language Processing, and Machine Learning.
He firmly believes in Open Source as a way to build a bridge between Academia and Industry and facilitate the progress of applied research.
SLIDES
VIDEO
SECOND TALK
How to Implement Online Search Quality Evaluation with Kibana
20th June - 11:00 AM [40 min]
Online testing represents a fundamental method to assess the performance of a ranking model in practical applications, providing the information needed to improve and better understand its behavior. Despite the advantages, the currently available evaluation tools have certain limitations. For this reason, we will present an alternative and customized approach to evaluate ranking models using Kibana. The talk will begin with an overview of online testing, including its benefits and drawbacks. Then, we will provide an in-depth exploration of our Kibana implementation, detailing the reasons behind our approach. Attendees will learn about the various tools provided by Kibana, and with practical examples, we will show how to create visualizations and dashboards, complete with queries and code, to compare different rankers. Attending this presentation will provide participants with valuable knowledge on how to leverage Kibana for the purpose of evaluating ranking models on custom metrics and on specific contexts such as the most popular and “populous” queries.
OUR SPEAKERS
Ilaria Petreti
R&D SOFTWARE ENGINEER @ SEASE
Ilaria is a Data Scientist passionate about the world of Artificial Intelligence. She loves applying Data Mining and Machine Learnings techniques, strongly believing in the power of Big Data and Digital Transformation.
Anna Ruggero
R&D SOFTWARE ENGINEER @ SEASE
Anna Ruggero is a software engineer passionate about Information Retrieval and Data Mining. She loves to find new solutions to problems, suggesting and testing new ideas, especially those that concern the integration of machine learning techniques into information retrieval systems.
