1 citations · 1 across the 5 of their papers we have counts for
8 papers
Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach
Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
Understanding an information forager's actions during interaction is very important for the study of interactive information retrieval. Although information spread in uncertain inf…
ECIR 2020 Workshops: Assessing the Impact of Going Online
Sérgio Nunes, Suzanne Little, Sumit Bhatia +11
ECIR 2020 https://ecir2020.org/ was one of the many conferences affected by the COVID-19 pandemic. The Conference Chairs decided to keep the initially planned dates (April 14-17, 2…
Bibliometric-enhanced Information Retrieval 10th Anniversary Workshop Edition
Guillaume Cabanac, Ingo Frommholz, Philipp Mayr
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. This year we or…
Information Foraging for Enhancing Implicit Feedback in Content-based Image Recommendation
Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
User implicit feedback plays an important role in recommender systems. However, finding implicit features is a tedious task. This paper aims to identify users' preferences through…
Report on the 8th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2019)
Guillaume Cabanac, Ingo Frommholz, Philipp Mayr
The Bibliometric-enhanced Information Retrieval workshop series (BIR) at ECIR tackled issues related to academic search, at the crossroads between Information Retrieval and Bibliom…
Effects of Foraging in Personalized Content-based Image Recommendation
Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
A major challenge of recommender systems is to help users locating interesting items. Personalized recommender systems have become very popular as they attempt to predetermine the…