CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering

Y Shi; A Karatzoglou; L Baltrunas; MA Larson; N Oliver; A Hanjalic

CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering

Y Shi, A Karatzoglou, L Baltrunas, MA Larson, N Oliver, A Hanjalic

Multimedia Computing

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

236 Citations (Scopus)

Original language	English
Title of host publication	Proceedings of the sixth ACM conference on Recommender systems
Editors	SN
Place of Publication	NY, NY, USA
Publisher	Association for Computing Machinery (ACM)
Pages	139-146
Number of pages	8
ISBN (Print)	978-1-4503-1270-7
Publication status	Published - 2012
Event	the sixth ACM conference on Recommender systems - NY, NY, USA Duration: 9 Sept 2012 → 12 Sept 2012

Publication series

Name
Publisher	ACM

Conference

Conference	the sixth ACM conference on Recommender systems
Period	9/09/12 → 12/09/12

Cite this

@inproceedings{7fac216b175d47db9a3ef0f0855e2062,

title = "CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering",

author = "Y Shi and A Karatzoglou and L Baltrunas and MA Larson and N Oliver and A Hanjalic",

year = "2012",

language = "English",

isbn = "978-1-4503-1270-7",

publisher = "Association for Computing Machinery (ACM)",

pages = "139--146",

editor = "SN",

booktitle = "Proceedings of the sixth ACM conference on Recommender systems",

address = "United States",

note = "the sixth ACM conference on Recommender systems ; Conference date: 09-09-2012 Through 12-09-2012",

}

Shi, Y, Karatzoglou, A, Baltrunas, L, Larson, MA, Oliver, N & Hanjalic, A 2012, CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering. in SN (ed.), Proceedings of the sixth ACM conference on Recommender systems. Association for Computing Machinery (ACM), NY, NY, USA, pp. 139-146, the sixth ACM conference on Recommender systems, 9/09/12.

CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering. / Shi, Y; Karatzoglou, A; Baltrunas, L et al.
Proceedings of the sixth ACM conference on Recommender systems. ed. / SN. NY, NY, USA: Association for Computing Machinery (ACM), 2012. p. 139-146.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering

AU - Shi, Y

AU - Karatzoglou, A

AU - Baltrunas, L

AU - Larson, MA

AU - Oliver, N

AU - Hanjalic, A

PY - 2012

Y1 - 2012

UR - http://delivery.acm.org/10.1145/2370000/2365981/p139-shi.pdf?ip=131.180.208.162&acc=ACTIVE%20SERVICE&CFID=177920569&CFTOKEN=74789163&__acm__=1359993169_6d0be8e67c4160ab9d7ce3bb381949ba

M3 - Conference contribution

SN - 978-1-4503-1270-7

SP - 139

EP - 146

BT - Proceedings of the sixth ACM conference on Recommender systems

A2 - SN, null

PB - Association for Computing Machinery (ACM)

CY - NY, NY, USA

T2 - the sixth ACM conference on Recommender systems

Y2 - 9 September 2012 through 12 September 2012

ER -

CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering

Publication series

Conference

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Cite this