Now showing items 31-35 of 35
SemStim at the Linked Open Data-enabled Recommender Systems 2014 challenge
SemStim is a graph-based recommendation algorithm which is based on Spreading Activation and adds targeted activation and duration constraints. SemStim is not affected by data sparsity, the cold-start problem or data quality ...
Reconstruction of Threaded Conversations in Online Discussion Forums
(Fifth International AAAI Conference on Weblogs and Social Media, 2011-07-18)
[no abstract available]
PandemCap: decision support tool for epidemic management
(NUI Galway, 2017-10-01)
Pandemics or high impact epidemics are one of the biggest threats facing humanity today. While a complete elimination of the occurrence of such threats is improbable, it is possible to contain their impact by efficient ...
Detecting bot behaviour in social media using digital DNA compression
(AICS (Artificial Intelligence and Cognitive Science) 2019, 2019-12-05)
A major challenge faced by online social networks such as Facebook and Twitter is the remarkable rise of fake and automated bot accounts over the last few years. Some of these accounts have been reported to engage in ...
BEARS: Towards an evaluation framework for bandit-based interactive recommender systems
(NUI Galway, 2018-10-06)
Recommender Systems (RS) deployed in fast-paced dynamic scenarios must quickly learn to adapt in response to user evaluative feedback. In these settings, the RS faces an online learning problem where each decision should ...