Nesta sexta-feira, 03, às 10 horas, na sala 2076 do Instituto de Ciências Extas (ICEx) da UFMG, o professor titular de Ciência da Computação no Departamento de Engenharia da Informação da Universidade de Pádua, Itália, irá proferir a palestra “DIME: There’s Plenty of Room at the Bottom”. A palestra é gratuita e não há necessidade de inscrição prévia. Leia abaixo, em inglês, a descrição da palestra e o currículo do professor:
Abstract:
Recent advances in Information Retrieval have shown the effectiveness of embedding queries and documents in a latent highdimensional space to compute their similarity. While operating on such high-dimensional spaces is effective, we hypothesize that we can improve the retrieval performance by adequately moving to a query-dependent subspace. More in detail, we formulate the Manifold Clustering (MC) Hypothesis: projecting queries and documents onto a subspace of the original representation space can improve retrieval effectiveness. To empirically validate our hypothesis, we define a novel class of Dimension IMportance Estimators (DIME). Such models aim to determine how much each dimension of a high-dimensional representation contributes to the quality of the final ranking and provide an empirical method to select a subset of dimensions where to project the query and the documents. We will present several types of DIMEs and show how they substantially improve performance with respect to baseline using all dimensions.
Bio: Nicola Ferro is full professor in computer science at the Department of Information Engineering of the University of Padua, Italy. He is head of the Intelligent Interactive Information Access (IIIA) hub and of the Information Management Systems (IMS) research group. His research interests include information retrieval, its experimental evaluation, multilingual information access and digital libraries. He is the coordinator of the CLEF evaluation initiative, which involves more than 200 research groups world-wide in large-scale IR evaluation activities. He has published more than 400 papers on information retrieval, digital libraries, and their evaluation. He was inducted to Class 2023 of the SIGIR Academy and he was awarded the Tony Kent Strix Award in 2024 (an annual award for outstanding contributions to the field of information retrieval).
