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Conference Paper: Activity-partner recommendation

TitleActivity-partner recommendation
Authors
Issue Date2015
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2015), Ho Chi Minh City, Vietnam, 19-22 May 2015. In Lecture Notes in Computer Science, 2015, v. 9077, p. 591-604 How to Cite?
AbstractIn many activities, such as watching movies or having dinner, people prefer to find partners before participation. Therefore, when recommending activity items (e.g., movie tickets) to users, it makes sense to also recommend suitable activity partners. This way, (i) the users save time for finding activity partners, (ii) the effectiveness of the item recommendation is increased (users may prefer activity items more if they can find suitable activity partners), (iii) recommender systems become more interesting and enkindle users' social enthusiasm. In this paper, we identify the usefulness of suggesting activity partners together with items in recommender systems. In addition, we propose and compare several methods for activity-partner recommendation. Our study includes experiments that test the practical value of activity-partner recommendation and evaluate the effectiveness of all suggested methods as well as some alternative strategies.
DescriptionLNCS v. 9077 entitled: Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia Conference, PAKDD 2015 ... Proceedings, Part 1
Persistent Identifierhttp://hdl.handle.net/10722/213623
ISBN
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252

 

DC FieldValueLanguage
dc.contributor.authorTu, W-
dc.contributor.authorCheung, DW-
dc.contributor.authorMamoulis, N-
dc.contributor.authorYang, M-
dc.contributor.authorLu, Z-
dc.date.accessioned2015-08-07T04:07:08Z-
dc.date.available2015-08-07T04:07:08Z-
dc.date.issued2015-
dc.identifier.citationThe 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2015), Ho Chi Minh City, Vietnam, 19-22 May 2015. In Lecture Notes in Computer Science, 2015, v. 9077, p. 591-604-
dc.identifier.isbn978-3-319-18037-3-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10722/213623-
dc.descriptionLNCS v. 9077 entitled: Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia Conference, PAKDD 2015 ... Proceedings, Part 1-
dc.description.abstractIn many activities, such as watching movies or having dinner, people prefer to find partners before participation. Therefore, when recommending activity items (e.g., movie tickets) to users, it makes sense to also recommend suitable activity partners. This way, (i) the users save time for finding activity partners, (ii) the effectiveness of the item recommendation is increased (users may prefer activity items more if they can find suitable activity partners), (iii) recommender systems become more interesting and enkindle users' social enthusiasm. In this paper, we identify the usefulness of suggesting activity partners together with items in recommender systems. In addition, we propose and compare several methods for activity-partner recommendation. Our study includes experiments that test the practical value of activity-partner recommendation and evaluate the effectiveness of all suggested methods as well as some alternative strategies.-
dc.languageeng-
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/-
dc.relation.ispartofLecture Notes in Computer Science-
dc.rightsThe final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-18038-0_46-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleActivity-partner recommendation-
dc.typeConference_Paper-
dc.identifier.emailCheung, DW: dcheung@cs.hku.hk-
dc.identifier.emailMamoulis, N: nikos@cs.hku.hk-
dc.identifier.authorityCheung, DW=rp00101-
dc.identifier.authorityMamoulis, N=rp00155-
dc.description.naturepostprint-
dc.identifier.doi10.1007/978-3-319-18038-0_46-
dc.identifier.hkuros246261-
dc.identifier.volume9077-
dc.identifier.spage591-
dc.identifier.epage604-
dc.publisher.placeGermany-
dc.customcontrol.immutablesml 150807 ; 160419-

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