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Archive / INF Seminars / INF_2024_01_29_Pranav_Kasela

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	Contextualization in Neural Information Retrieval

Host: Prof. Fabio Crestani

Monday

29.01

USI Campus Est, room D2.19, Sector D

11:00 - 12:00


	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.