Now showing items 1-6 of 6
Using social media data for online television recommendation services at RTÉ Ireland
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 ...
XPLODIV: An exploitation-exploration aware diversification approach for Recommender Systems
(AAAI Press, 2015-07)
Recommender Systems (RS) have emerged to guide users in the task of efficiently browsing/exploring a large product space, helping users to quickly identify interesting products. However, suggestions generated with traditional ...
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 ...
XploDiv: Diversification Approach for Recommender Systems
(INSIGHT Centre for Data Analytics, National University of Ireland, Galway, 2015)
Recommender Systems have emerged to guide users in the task of efficiently browsing/exploring a large product space, helping users to quickly identify interesting products. However, suggestions generated with traditional ...
Event Analysis in Social Media Using Clustering of Heterogeneous Information Networks
(The 28th International FLAIRS Conference (AAAI Publications) (AAAI), 2015)
In this paper, we propose a novel approach for social media event finding in order to support fast access to information that users find relevant. While there are many approaches related to this problem, they mainly focus ...
Path-based semantic relatedness on linked data and its use to word and entity disambiguation
Semantic relatedness and disambiguation are fundamental problems for linking text documents to the Web of Data. There are many approaches dealing with both problems but most of them rely on word or concept distribution ...