@inproceedings{wang-etal-2012-ntusocialrec,
title = "{NTUS}ocial{R}ec: An Evaluation Dataset Constructed from Microblogs for Recommendation Applications in Social Networks",
author = "Wang, Chieh-Jen and
Cheng, Shuk-Man and
Lee, Lung-Hao and
Chen, Hsin-Hsi and
Liu, Wen-shen and
Huang, Pei-Wen and
Lin, Shih-Peng",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/494_Paper.pdf",
pages = "2328--2332",
abstract = "This paper proposes a method to construct an evaluation dataset from microblogs for the development of recommendation systems. We extract the relationships among three main entities in a recommendation event, i.e., who recommends what to whom. User-to-user friend relationships and user-to-resource interesting relationships in social media and resource-to-metadata descriptions in an external ontology are employed. In the experiments, the resources are restricted to visual entertainment media, movies in particular. A sequence of ground truths varying with time is generated. That reflects the dynamic of real world.",
}
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<abstract>This paper proposes a method to construct an evaluation dataset from microblogs for the development of recommendation systems. We extract the relationships among three main entities in a recommendation event, i.e., who recommends what to whom. User-to-user friend relationships and user-to-resource interesting relationships in social media and resource-to-metadata descriptions in an external ontology are employed. In the experiments, the resources are restricted to visual entertainment media, movies in particular. A sequence of ground truths varying with time is generated. That reflects the dynamic of real world.</abstract>
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%0 Conference Proceedings
%T NTUSocialRec: An Evaluation Dataset Constructed from Microblogs for Recommendation Applications in Social Networks
%A Wang, Chieh-Jen
%A Cheng, Shuk-Man
%A Lee, Lung-Hao
%A Chen, Hsin-Hsi
%A Liu, Wen-shen
%A Huang, Pei-Wen
%A Lin, Shih-Peng
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F wang-etal-2012-ntusocialrec
%X This paper proposes a method to construct an evaluation dataset from microblogs for the development of recommendation systems. We extract the relationships among three main entities in a recommendation event, i.e., who recommends what to whom. User-to-user friend relationships and user-to-resource interesting relationships in social media and resource-to-metadata descriptions in an external ontology are employed. In the experiments, the resources are restricted to visual entertainment media, movies in particular. A sequence of ground truths varying with time is generated. That reflects the dynamic of real world.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/494_Paper.pdf
%P 2328-2332
Markdown (Informal)
[NTUSocialRec: An Evaluation Dataset Constructed from Microblogs for Recommendation Applications in Social Networks](http://www.lrec-conf.org/proceedings/lrec2012/pdf/494_Paper.pdf) (Wang et al., LREC 2012)
ACL