Contextualization in Neural Information Retrieval
Staff - Faculty of Informatics
Date: 29 January 2024 / 11:00 - 12:00
USI Campus Est, room D2.19, Sector D
Speaker:
Pranav Kasela, University of Milano-Bicocca, Italy
Abstract:
In the past few years Information Retrieval (IR) has seen a rapid evolution due to the introduction of neural models, creating a new branch of study: Neural Information Retrieval (NIR). A key advantage of NIR is its adaptability for handling multi-modal data and it overcomes many limitations of the classical retrieval methods. However, the process is typically dependent on large datasets and is often domain specific. In this talk I will present some of our efforts to address this problem by introducing context sensitive and personalized approaches to neural retrieval models.
Biography:
Pranav Kasela has completed his bachelor degree in Mathematics at University of Milan in 2018 and his master degree in computer science at University of Milano-Bicocca in 2021. Currently, he is pursuing his PhD under the supervision of Prof. Gabriella Pasi and Raffaele Perego at University of Milano-Bicocca and ISTI-CNR, Pisa.
Host: Prof. Fabio Crestani
