Google's supremacy from information retrieval

TITOLO: Google's supremacy from information retrieval, passing through Natural Language Modeling, to quantum computing

ABSTRACT: The current era of data is dominated by a few big players. Among them, Google is playing the role of a significant technological innovator.
Its story started from Information Retrieval algorithms is evolving in many fields of research, including natural language processing, user modeling, and quantum computers. The talk will discuss some of the algorithms proposed by google as state of the art in the last years for performing innovative tasks in machine learning, NLP, and more from a research point of view applied in everyday tasks.

RELATORE: Marco Polignano

BIO RELATORE: Marco Polignano is a PostDoc Research Fellow at the Department of Computer Science, University of Bari Aldo Moro, Italy, in the SWAP (Semantic Web Access and Personalization) research group. He earned the PhD in Computer Science and Mathematics in 2018, at the same university, with the thesis titled "An affect-aware computational model for supporting decision-making through recommender systems". He was program committee member and reviewer for many international conferences, local organizing committee for the Ai*iA 2017 conference, CLIC-IT 2019 CONFERENCE and, organizer of the Evalita 2018 challenge - ABSITA about the aspect based sentiment analysis. Moreover, he has been a reviewer for international journals and conferences papers.
In 2016 and 2018, he was a Marie Sklodowska-Curie Research and
Innovation Staff Exchange (MSCA-RISE) fellow, involved in the project N.
691071, titled "Seo-Dwarf: Semantic EO Data Web Alert and Retrieval
Framework".
His research interests are about Natural Language Processing, User
Personalization, Recommender Systems, Artificial Intelligence including
deep learning.