Test environment running 7.6.6

Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Time-aware Topic Recommendation Based on Micro-blogs

dc.contributor.authorLiang, Huizhi (Elly)
dc.contributor.authorXu, Yue
dc.contributor.authorTjondronegoro, Dian
dc.contributor.authorChristen, Peter
dc.coverage.spatialMaui HI USA
dc.date.accessioned2015-12-07T22:23:31Z
dc.date.createdOctober 29-November 2 2012
dc.date.issued2012
dc.date.updated2015-12-07T09:18:20Z
dc.description.abstractTopic recommendation can help users deal with the information overload issue in micro-blogging communities. This paper proposes to use the implicit information network formed by the multiple relationships among users, topics and micro-blogs, and the temporal information of micro-blogs to find semantically and temporally relevant topics of each topic, and to profile users' time-drifting topic interests. The Content based, Nearest Neighborhood based and Matrix Factorization models are used to make personalized recommendations. The effectiveness of the proposed approaches is demonstrated in the experiments conducted on a real world dataset that collected from Twitter.com.
dc.identifier.isbn9781450311564
dc.identifier.urihttp://hdl.handle.net/1885/20737
dc.publisherAssociation for Computing Machinery Inc (ACM)
dc.relation.ispartofseriesACM international conference on Information and knowledge management (CIKM 2012)
dc.source.urihttp://www.cikm2012.org/index.php
dc.titleTime-aware Topic Recommendation Based on Micro-blogs
dc.typeConference paper
local.bibliographicCitation.lastpage1661
local.bibliographicCitation.startpage1657
local.contributor.affiliationLiang, Huizhi (Elly), College of Engineering and Computer Science, ANU
local.contributor.affiliationXu, Yue, Queensland University of Technology
local.contributor.affiliationTjondronegoro, Dian, Queensland University of Technology
local.contributor.affiliationChristen, Peter, College of Engineering and Computer Science, ANU
local.contributor.authoruidLiang, Huizhi (Elly), u5156928
local.contributor.authoruidChristen, Peter, u4021539
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.absseo890205 - Information Processing Services (incl. Data Entry and Capture)
local.identifier.ariespublicationu9609633xPUB13
local.identifier.doi10.1145/2396761.2398492
local.identifier.scopusID2-s2.0-84871092016
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
01_Liang_Time-aware_Topic_2012.pdf
Size:
963.34 KB
Format:
Adobe Portable Document Format