Report on the 1st International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) at ECIR 2024-Reference-Cited by-同舟云学术

Report on the 1st International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) at ECIR 2024

Published:2024-06 Issue:1 Volume:58 Page:1-4
ISSN:0163-5840
Container-title:ACM SIGIR Forum
language:en
Short-container-title:SIGIR Forum

Author:

Boratto Ludovico¹,Malitesta Daniele²,Marras Mirko¹,Medda Giacomo¹,Musto Cataldo³,Purificato Erasmo⁴

Affiliation:

1. University of Cagliari, Italy

2. Université Paris-Saclay, CentraleSupélec, Inria, France

3. University of Bari, Italy

4. Otto von Guericke University, Magdeburg, Germany

Abstract

The First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) was held as a physical (in-person) event on March 24, 2024, in conjunction with the 46th European Conference on Information Retrieval (ECIR 2024) in Glasgow (Scotland). The scientific program included paper, spotlight, and poster presentations. Two keynote talks were delivered by Francesco Fabbri (Spotify, Spain) and Ruihong Qiu (University of Queensland, Australia). This report presents an overview of the activities conducted during the workshop and the main topics covered. Date : 24 March 2024. Website : https://irongraphs.github.io/ecir2024/.

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/3687273.3687286

Reference3 articles.

1. Graph-based term weighting for information retrieval

2. Ludovico Boratto, Daniele Malitesta, Mirko Marras, Giacomo Medda, Cataldo Musto, and Erasmo Purificato. First international workshop on graph-based approaches in information retrieval (irongraphs 2024). In ECIR (5), volume 14612 of Lecture Notes in Computer Science, pages 415--421. Springer, 2024.

3. Graph Neural Networks in Recommender Systems: A Survey