Matches in UGent Biblio for { <https://biblio.ugent.be/publication/1168458#aggregation> ?p ?o. }
Showing items 1 to 35 of
35
with 100 items per page.
- aggregation classification "C1".
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2010".
- aggregation format "application/pdf".
- aggregation hasFormat 1168458.bibtex.
- aggregation hasFormat 1168458.csv.
- aggregation hasFormat 1168458.dc.
- aggregation hasFormat 1168458.didl.
- aggregation hasFormat 1168458.doc.
- aggregation hasFormat 1168458.json.
- aggregation hasFormat 1168458.mets.
- aggregation hasFormat 1168458.mods.
- aggregation hasFormat 1168458.rdf.
- aggregation hasFormat 1168458.ris.
- aggregation hasFormat 1168458.txt.
- aggregation hasFormat 1168458.xls.
- aggregation hasFormat 1168458.yaml.
- aggregation isPartOf urn:isbn:9780769540221.
- aggregation isPartOf urn:isbn:9781424467280.
- aggregation language "eng".
- aggregation publisher "IEEE Computer Society".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Technology and Engineering".
- aggregation title "Extending the Bayesian classifier to a context-aware recommender system for mobile devices".
- aggregation abstract "Mobile devices that are capable of playing Internet videos have become wide-spread in recent years. Because of the enormous offer of video content, the lack of sufficient presentation space on the screen, and the laborious navigation on mobile devices, the video consumption process becomes more complicated for the end-user. To handle this problem, people need new instruments to assist with the hunting, filtering and selection process. We developed a methodology for mobile devices that makes the huge content sources more manageable by creating a user profile and personalizing the offer. This paper reports the structure of the user profile, the user interaction mechanism, and the recommendation algorithm, an improved version of the Bayesian classifier that incorporates aspects of the consumption context (like time, location, and mood of the user) to make the suggestions more accurate.".
- aggregation authorList BK214762.
- aggregation endPage "247".
- aggregation startPage "242".
- aggregation aggregates 1168461.
- aggregation aggregates 1168474.
- aggregation isDescribedBy 1168458.
- aggregation similarTo ICIW.2010.43.
- aggregation similarTo LU-1168458.