Social and Behavioral Aspects of a Tag-Based Recommender System

Frederico Durao; Peter Dolog

doi:10.1109/ISDA.2009.19

Social and Behavioral Aspects of a Tag-Based Recommender System

Frederico Durao, Peter Dolog

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

5 Citationer (Scopus)

Abstrakt

Collaborative tagging has emerged as a useful means to organize and share resources on the Web. Recommender systems have been utilized tags for identifying similar resources and generate personalized recommendations. In this paper, we analyze social and behavioral aspects of a tag-based recommender system which suggests similar Web pages based on the similarity of their tags. Tagging behavior and language anomalies in tagging activities are some aspects examined from an experiment involving 38 people from 12 countries.

Originalsprog	Engelsk
Titel	Proceedings of the 2009 Ninth International Conference on Intelligent Systems Design and Applications
Forlag	IEEE Computer Society Press
Publikationsdato	2009
Sider	294-299
ISBN (Elektronisk)	978-0-7695-3872-3
DOI	https://doi.org/10.1109/ISDA.2009.19
Status	Udgivet - 2009
Begivenhed	Intelligent Systems Design and Applications (ISDA) - Pisa, Italien Varighed: 30 nov. 2009 → 2 dec. 2009 Konferencens nummer: 9

Konference

Konference	Intelligent Systems Design and Applications (ISDA)
Nummer	9
Land/Område	Italien
By	Pisa
Periode	30/11/2009 → 02/12/2009

Adgang til dokumentet

10.1109/ISDA.2009.19

AUB Link

Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

KIWI: Knowledge in a Wiki
Dolog, P., Nielsen, P. A., Munk-Madsen, A., Jahn, K. & Durao, F.
EU ICT FP7
01/03/2008 → 28/02/2011
Projekter: Projekt › Forskning

Citationsformater

@inproceedings{873033c0ebd811deb63d000ea68e967b,

title = "Social and Behavioral Aspects of a Tag-Based Recommender System",

abstract = "Collaborative tagging has emerged as a useful means to organize and share resources on the Web. Recommender systems have been utilized tags for identifying similar resources and generate personalized recommendations. In this paper, we analyze social and behavioral aspects of a tag-based recommender system which suggests similar Web pages based on the similarity of their tags. Tagging behavior and language anomalies in tagging activities are some aspects examined from an experiment involving 38 people from 12 countries.",

keywords = "personalization, social, tag, recommendation",

author = "Frederico Durao and Peter Dolog",

year = "2009",

doi = "10.1109/ISDA.2009.19",

language = "English",

pages = "294--299",

booktitle = "Proceedings of the 2009 Ninth International Conference on Intelligent Systems Design and Applications",

publisher = "IEEE Computer Society Press",

address = "United States",

note = "Intelligent Systems Design and Applications (ISDA) ; Conference date: 30-11-2009 Through 02-12-2009",

}

Social and Behavioral Aspects of a Tag-Based Recommender System. / Durao, Frederico; Dolog, Peter.
Proceedings of the 2009 Ninth International Conference on Intelligent Systems Design and Applications. IEEE Computer Society Press, 2009. s. 294-299.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Social and Behavioral Aspects of a Tag-Based Recommender System

AU - Durao, Frederico

AU - Dolog, Peter

N1 - Conference code: 9

PY - 2009

Y1 - 2009

N2 - Collaborative tagging has emerged as a useful means to organize and share resources on the Web. Recommender systems have been utilized tags for identifying similar resources and generate personalized recommendations. In this paper, we analyze social and behavioral aspects of a tag-based recommender system which suggests similar Web pages based on the similarity of their tags. Tagging behavior and language anomalies in tagging activities are some aspects examined from an experiment involving 38 people from 12 countries.

AB - Collaborative tagging has emerged as a useful means to organize and share resources on the Web. Recommender systems have been utilized tags for identifying similar resources and generate personalized recommendations. In this paper, we analyze social and behavioral aspects of a tag-based recommender system which suggests similar Web pages based on the similarity of their tags. Tagging behavior and language anomalies in tagging activities are some aspects examined from an experiment involving 38 people from 12 countries.

KW - personalization

KW - social

KW - tag

KW - recommendation

U2 - 10.1109/ISDA.2009.19

DO - 10.1109/ISDA.2009.19

M3 - Article in proceeding

SP - 294

EP - 299

BT - Proceedings of the 2009 Ninth International Conference on Intelligent Systems Design and Applications

PB - IEEE Computer Society Press

T2 - Intelligent Systems Design and Applications (ISDA)

Y2 - 30 November 2009 through 2 December 2009

ER -

Social and Behavioral Aspects of a Tag-Based Recommender System

Abstrakt

Konference

Adgang til dokumentet

AUB Link

Fingeraftryk

Projekter

KIWI: Knowledge in a Wiki

Citationsformater