Search Results for author:
Found 6 papers, 0 papers with code
Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach
Understanding an information forager's actions during interaction is very important for the study of interactive information retrieval.
ECIR 2020 Workshops: Assessing the Impact of Going Online
In this report, we describe the experience of organizing the ECIR 2020 Workshops in this scenario from two perspectives: the workshop organizers and the workshop participants.
Bibliometric-enhanced Information Retrieval 10th Anniversary Workshop Edition
The Bibliometric-enhanced Information Retrieval workshop series (BIR) was launched at ECIR in 2014 \cite{MayrEtAl2014} and it was held at ECIR each year since then.
Information Foraging for Enhancing Implicit Feedback in Content-based Image Recommendation
In the first part, we hypothesise that the users' perception is improved with visual cues in the images as behavioural signals that provide users' information scent during information seeking.
Report on the 8th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2019)
The Bibliometric-enhanced Information Retrieval workshop series (BIR) at ECIR tackled issues related to academic search, at the crossroads between Information Retrieval and Bibliometrics.
Effects of Foraging in Personalized Content-based Image Recommendation
We investigate a personalized content-based image recommendation system to understand what affects user attention by reinforcing visual attention cues based on IFT.
