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Oktober 2019

Charlie Hull, OpenSource Connections

31.10.2019, 18:0020:00
Hörsaal 26,

47,3,VielberthGebaeude§H26 (UR Vielberth Gebäude, 2. OG, H26)§
Universität Regensburg
Deutschland

The right path to making search relevant Charlie's talk describes three aspects of search quality, focusing on relevance, and describes how to measure and improve it and tools for doing so. He also discusses practical ways to build and empower a search team to create the best search solutions. Charlie is a Managing Consultant for leading search relevance specialists OpenSource Connections. https://opensourceconnections.com/about-us/charlie-hull/ Besuchen Sie auch unsere Meetup-Gruppe: https://www.meetup.com/Data-Science-Regensburg/

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November 2019

René Kriegler

14.11.2019, 18:3020:00
Hörsaal 8,

2,6,ZentralesHoersaalgebaeude§H8+(Zentrales+Hörsaalgebäude)§
Universität Regensburg
Deutschland

A picture is worth a thousand words - using image recognition for relevance scoring in e-commerce search Many online shops around the world use open source technologies like Solr and Elasticsearch for their onsite search. However, the underlying relevance scoring algorithms were largely developed with enterprise search or general site search in mind. Relatively little is known about the specifics of search relevance scoring in e-commerce search, even from the perspective of information retrieval theory. I shall give an overview…

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Dezember 2019

Jussi Karlgren, Stockholm

18.12.2019, 18:0020:00
Hörsaal 8,

2,6,ZentralesHoersaalgebaeude§H8+(Zentrales+Hörsaalgebäude)§
Universität Regensburg
Deutschland

talks about words, vectors and high-dimensional space Jussi Karlgren is a researcher in language technology from Stockholm. He is the founder of text analysis company Gavagai, a research advisor in text analysis at Recorded Future, and is a principal research scientist at Spotify. He has for the past several years worked mainly on large scale models of semantics learned from text and implemented as a vector space. Semantic vector space models are of great practical value and are increasingly popular:…

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Februar 2020

Double Feature – Sven Mayer & Jens Schwarzbach

19. Februar, 18:3020:30
Hörsaal 8,

2,6,ZentralesHoersaalgebaeude§H8+(Zentrales+Hörsaalgebäude)§
Universität Regensburg
Deutschland

Machine Learning Special Machine Learning for Human-Computer Interaction Sven Mayer, Carnegie Mellon University Over the last decade, we saw an uprise in the use of machine learning in a wide variety of fields. The availability of large amounts of data coupled with more and more computational power enable researchers and practitioners to train larger and deeper models and thus overcome the limitations of traditional feature extraction approaches. The Human-Computer Interaction (HCI) community is also witnessing this trend. However, as humans…

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Mai 2020

Data Science @ Regensburg: Corona Edition

27. Mai, 18:0020:00
Online-Event

A special edition of Data Science Meetup that is dedicated to look at COVID-19 from a data science perspective. The evening will start with Jimmy Lin who will join us to answer YOUR questions. For many years he has been a key figure in a variety of areas ranging from search to natural language processing. His team at the University of Waterloo was the first to release a state-of-the-art search engine, Neural Covidex, that would allow search over the recently…

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