Modeling Interactive Information Retrieval and Social Media Interaction as Stochastic Process (Distinguished Lecture)
University of Duisburg-Essen, Germany –
Stochastic models have a long history in information retrieval (IR). For modeling sequences of interactions, different variants of Markov models have been proposed by a number of researchers. Here a user moves stochastically between different model states, which are not directly observable; instead, some signal is emitted along with each transition. For applying these models to interactive retrieval, we aim at modeling search progress at a level that is comparable to cognitive models. This allows for user-oriented analysis of interactive IR, for user guidance and for stochastic simulations of interactive IR. As a second application domain, we regard social media interaction, focusing on rumor detection and veracity in Twitter streams. Experimental results from both domains show that these approaches are well-suited for dealing with real-world data.
Norbert Fuhr holds a PhD (Dr.) in Computer Science from the Technical University of Darmstadt, which he received in 1986. He became Associate Professor in the computer science department of the University of Dortmund in 1991 and was appointed Full Professor for computer science at the University of Duisburg-Essen in 2002.
His past research dealt with topics such as probabilistic retrieval models, the integration of IR and databases, retrieval in distributed digital libraries and XML documents, and user friendly retrieval interfaces. His current research interests are models for interactive retrieval, user-oriented retrieval methods and social media retrieval.
Norbert Fuhr has served as PC member and program chair of major conferences in IR and digital libraries, and on the editorial boards of several journals in these areas.
In 2012, Norbert Fuhr received the Gerald Salton Award of ACM-SIGIR.
Mário Jorge Costa Gaspar da Silva
Francisco António Chaves Saraiva de Melo: “Agregação” (Habilitation) in Computer Science and Engineering
Francisco António Chaves Saraiva de Melo, INESC-ID researcher within the Artificial Intelligence for People and Society Research Area and Associate Professor at the Department of Computer Science and Engineering of Instituto Superior Técnico, will present a course unit report and a seminar in order to be awarded his Agregação (Habilitation) in Computer Science and Engineering on 30th and 31st May 2022.
Francisco Melo will present the course unit report titled Planning, Learning, and Intelligent Decision Making at 9am on 30th May 2022 (available on Zoom), followed by the seminar Reinforcement learning: A dynamical systems viewpoint at 9am on 31st May 2022 (available on Zoom).
2nd RiverCure Workshop
Location: Meeting room of Department of Civil Engineering, Civil Engineering Building, Instituto Superior Técnico, Alameda Campus.
9:00 – 9:10 Welcoming attendants
9:10 – 9:30 Overview of the project and main outputs (Rui Ferreira)
9:30 – 9:45 Mathematical modelling – HiSTAV shallow water solver (Daniel Conde)
9:45 – 10:00 Laboratory observatory – tools (Luís Mendes/Rui Ferreira)
10:00 – 10:15 Laboratory observatory – lab models (Rui Aleixo/Rui Ferreira)
10:15 – 10:30 Break
10:30 – 10:45 Field observatory – tools (Bruno Martins)
10:45 – 11:00 Field observatory – February 2016 and December 2019 floods, Rio Águeda (Rodrigo Oliveira)
11:00 – 11:20 The RiverCure portal – Conception and implementation (Alberto Silva)
11:20 – 11:40 The RiverCure portal – Applications (Ana Margarida Ricardo/Alberto Silva)
11:40 – 12:30 Discussion and Ending
RiverCure is a partnership of Agência Portuguesa do Ambiente, INESC-ID and IST-ID.
Support: APRH – Comissão Especializada em Hidráulica Fluvial
Funding: Fundação para a Ciência e a Tecnologia (FCT) RiverCure: Curating and assimilating crowdsourced and authoritative data to reduce uncertainty in river flow modelling. PTDC/CTA-OHR/29360/2017
Further details on the RiverCure project are available here.