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Article: Collaborative filtering based on workflow space

TitleCollaborative filtering based on workflow space
Authors
KeywordsCollaborative filtering
Collaborative team
Recommender system
Workflow
Issue Date2009
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/eswa
Citation
Expert Systems With Applications, 2009, v. 36 n. 4, p. 7873-7881 How to Cite?
AbstractThe traditional recommender systems are usually oriented to general situations in daily lives (e.g. recommend movies, books, music, news and etc.), but seldom cover the recommendation scenarios for the collaborative team environments. We have done an explorative study on collaborative filtering mechanism for collaborative team environments, which is some kind of multi-dimensional recommender systems problem with consideration of workflow context. This paper proposed 3-dimensional workflow space model, and investigated the new similarities measure between members in workflow space. Then, the new similarities measure is utilized into collaborative filtering for recommender systems in collaborative team environments. At last, the efficiency and usability of the proposed method are validated by experiments referring to a real-world collaborative team of a manufacturing enterprise. © 2008 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/58875
ISSN
2015 Impact Factor: 2.981
2015 SCImago Journal Rankings: 1.839
ISI Accession Number ID
Funding AgencyGrant Number
National Basic Research Program of China2003CB317005
Funding Information:

Authors are most grateful to National Basic Research Program of China (2003CB317005) for financial supports that made this research possible.

References

 

DC FieldValueLanguage
dc.contributor.authorZhen, Len_HK
dc.contributor.authorHuang, GQen_HK
dc.contributor.authorJiang, Zen_HK
dc.date.accessioned2010-05-31T03:38:35Z-
dc.date.available2010-05-31T03:38:35Z-
dc.date.issued2009en_HK
dc.identifier.citationExpert Systems With Applications, 2009, v. 36 n. 4, p. 7873-7881en_HK
dc.identifier.issn0957-4174en_HK
dc.identifier.urihttp://hdl.handle.net/10722/58875-
dc.description.abstractThe traditional recommender systems are usually oriented to general situations in daily lives (e.g. recommend movies, books, music, news and etc.), but seldom cover the recommendation scenarios for the collaborative team environments. We have done an explorative study on collaborative filtering mechanism for collaborative team environments, which is some kind of multi-dimensional recommender systems problem with consideration of workflow context. This paper proposed 3-dimensional workflow space model, and investigated the new similarities measure between members in workflow space. Then, the new similarities measure is utilized into collaborative filtering for recommender systems in collaborative team environments. At last, the efficiency and usability of the proposed method are validated by experiments referring to a real-world collaborative team of a manufacturing enterprise. © 2008 Elsevier Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/eswaen_HK
dc.relation.ispartofExpert Systems with Applicationsen_HK
dc.subjectCollaborative filteringen_HK
dc.subjectCollaborative teamen_HK
dc.subjectRecommender systemen_HK
dc.subjectWorkflowen_HK
dc.titleCollaborative filtering based on workflow spaceen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0957-4174&volume=36&issue=4&spage=7873&epage=7881&date=2009&atitle=Collaborative+filtering+based+on+workflow+spaceen_HK
dc.identifier.emailHuang, GQ:gqhuang@hkucc.hku.hken_HK
dc.identifier.authorityHuang, GQ=rp00118en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.eswa.2008.11.047en_HK
dc.identifier.scopuseid_2-s2.0-60249099542en_HK
dc.identifier.hkuros163352en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-60249099542&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume36en_HK
dc.identifier.issue4en_HK
dc.identifier.spage7873en_HK
dc.identifier.epage7881en_HK
dc.identifier.isiWOS:000264528600066-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridZhen, L=14053327700en_HK
dc.identifier.scopusauthoridHuang, GQ=7403425048en_HK
dc.identifier.scopusauthoridJiang, Z=35240389200en_HK

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