Publikation:

Personalized News Video Recommendation

Vorschaubild

Dateien

ACMMM09.pdf
ACMMM09.pdfGröße: 876.56 KBDownloads: 819

Datum

2008

Autor:innen

Luo, Hangzai
Fan, Jianping
Satoh, Shin ichi

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

URI (zitierfähiger Link)
http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-73207
DOI (zitierfähiger Link)
https://doi.org/10.1145/1459359.1459549
ArXiv-ID

Internationale Patentnummer

Link zur Lizenz
Urheberrechtlich geschützt

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Green

Sammlungen

Informatik und Informationswissenschaft: Publikationen
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

Proceeding of the 16th ACM international conference on Multimedia - MM '08. New York, New York, USA: ACM Press, 2008, pp. 1001-1002. ISBN 978-1-60558-303-7. Available under: doi: 10.1145/1459359.1459549

Zusammenfassung

In this paper, a novel framework is developed to support personalized news video recommendation. First, multi-modal information sources for news videos are seamlessly integrated and synchronized to achieve more reliable news topic detection, and the contexts between different news topics are extracted automatically. Second, topic network and hyperbolic visualization are seamlessly integrated to support interactive navigation and exploration of large-scale collections of news videos at the topic level, so that users can gain deep insights of large-scale collections of news videos at the first glance. In such interactive topic network navigation and exploration process, users personal background knowledge can be exploited for selecting news topics of interest interactively, building up their mental models of news needs precisely and formulating their queries easily by selecting the visible news topics on the topic network directly. Our system can further recommend the relevant web news, the new search directions, and the most relevant news videos according to their importance and representativeness scores. Our experiments on large-scale collections of news videos have provided very positive results.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

personalisierte Video-Empfehlung, personalized news video recommendation, Topic network

Konferenz

The 16th ACM international conference on Multimedia - MM '08, 26. Okt. 2008 - 31. Okt. 2008, Vancouver, British Columbia, Canada
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690LUO, Hangzai, Jianping FAN, Daniel A. KEIM, Shin ichi SATOH, 2008. Personalized News Video Recommendation. The 16th ACM international conference on Multimedia - MM '08. Vancouver, British Columbia, Canada, 26. Okt. 2008 - 31. Okt. 2008. In: Proceeding of the 16th ACM international conference on Multimedia - MM '08. New York, New York, USA: ACM Press, 2008, pp. 1001-1002. ISBN 978-1-60558-303-7. Available under: doi: 10.1145/1459359.1459549
BibTex
@inproceedings{Luo2008Perso-5702,
  year={2008},
  doi={10.1145/1459359.1459549},
  title={Personalized News Video Recommendation},
  isbn={978-1-60558-303-7},
  publisher={ACM Press},
  address={New York, New York, USA},
  booktitle={Proceeding of the 16th ACM international conference on Multimedia - MM '08},
  pages={1001--1002},
  author={Luo, Hangzai and Fan, Jianping and Keim, Daniel A. and Satoh, Shin ichi}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/5702">
    <dc:format>application/pdf</dc:format>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5702/1/ACMMM09.pdf"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T15:59:28Z</dcterms:available>
    <dc:rights>terms-of-use</dc:rights>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5702/1/ACMMM09.pdf"/>
    <dcterms:title>Personalized News Video Recommendation</dcterms:title>
    <dc:contributor>Luo, Hangzai</dc:contributor>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/5702"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T15:59:28Z</dc:date>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:abstract xml:lang="eng">In this paper, a novel framework is developed to support personalized news video recommendation. First, multi-modal information sources for news videos are seamlessly integrated and synchronized to achieve more reliable news topic detection, and the contexts between different news topics are extracted automatically. Second, topic network and hyperbolic visualization are seamlessly integrated to support interactive navigation and exploration of large-scale collections of news videos at the topic level, so that users can gain deep insights of large-scale collections of news videos at the first glance. In such interactive topic network navigation and exploration process, users  personal background knowledge can be exploited for selecting news topics of interest interactively, building up their mental models of news needs precisely and formulating their queries easily by selecting the visible news topics on the topic network directly. Our system can further recommend the relevant web news, the new search directions, and the most relevant news videos according to their importance and representativeness scores. Our experiments on large-scale collections of news videos have provided very positive results.</dcterms:abstract>
    <dcterms:bibliographicCitation>Paper to be presented to: ACM International Conference on Multimedia 2009, Oct. 19-24, Beijing, China</dcterms:bibliographicCitation>
    <dc:contributor>Satoh, Shin ichi</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:issued>2008</dcterms:issued>
    <dc:creator>Fan, Jianping</dc:creator>
    <dc:creator>Luo, Hangzai</dc:creator>
    <dc:contributor>Fan, Jianping</dc:contributor>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:language>eng</dc:language>
    <dc:creator>Satoh, Shin ichi</dc:creator>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen