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The role of negative results for choosing an evaluation approach - a recommender systems case study
(CEUR Workshop Proceedings, 2015-06-01)
We describe a case study, which shows how important negative results are in uncovering biased evaluation methodologies. Our re- search question is how to compare a recommender algorithm that uses an RDF graph to a ...
Using social media data for online television recommendation services at RTÉ Ireland
(2015-09)
Raidió Teilifís Éireann (RTÉ) is the public service television and radio broadcaster in Ireland. Through on demand video services, RTÉ allows their users to catch up on television broadcasts via the RTÉ Player. The company ...
Enabling case-based reasoning on the web of data
(2010-07-20)
While Case-based reasoning (CBR) has successfully been deployed on the Web, its data models are typically inconsistent with existing information infrastructure and standards. In this paper, we examine how CBR can operate ...
Constructing Twitter Datasets using Signals for Event Detection Evaluation
(22nd International Conference on Case-Based Reasoning, 2014-09-29)
Twitter is a very attractive real-time platform for research on event detection. However, despite the great amount of interest, datasets suitable for evaluating such methods are not easily available. The two most important ...
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 ...