GAPfm: Optimal top-n recommendations for graded relevance domains

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

GAPfm: Optimal top-n recommendations for graded relevance domains

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

Multimedia Computing

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

16 Citations (Scopus)

Original language	Undefined/Unknown
Title of host publication	Proceedings of the 22nd ACM international conference on information and knowledge management
Editors	SN
Place of Publication	NY, NY, USA
Publisher	Association for Computing Machinery (ACM)
Pages	2261-2266
Number of pages	6
ISBN (Print)	978-1-4503-2263-8
Publication status	Published - 2013
Event	the 22nd ACM conference on Information and Knowledge Management - NY, NY, USA Duration: 27 Oct 2013 → 1 Nov 2013

Publication series

Name
Publisher	ACM

Conference

Conference	the 22nd ACM conference on Information and Knowledge Management
Period	27/10/13 → 1/11/13

Keywords

conference contrib. refereed
Conf.proc. > 3 pag

Cite this

@inproceedings{dfdce535b713484c84b26e61954f9e20,

title = "GAPfm: Optimal top-n recommendations for graded relevance domains",

keywords = "conference contrib. refereed, Conf.proc. > 3 pag",

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

year = "2013",

language = "Undefined/Unknown",

isbn = "978-1-4503-2263-8",

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

pages = "2261--2266",

editor = "SN",

booktitle = "Proceedings of the 22nd ACM international conference on information and knowledge management",

address = "United States",

note = "the 22nd ACM conference on Information and Knowledge Management ; Conference date: 27-10-2013 Through 01-11-2013",

}

Shi, Y, Karatzoglou, A, Baltrunas, L, Larson, MA & Hanjalic, A 2013, GAPfm: Optimal top-n recommendations for graded relevance domains. in SN (ed.), Proceedings of the 22nd ACM international conference on information and knowledge management. Association for Computing Machinery (ACM), NY, NY, USA, pp. 2261-2266, the 22nd ACM conference on Information and Knowledge Management, 27/10/13.

GAPfm: Optimal top-n recommendations for graded relevance domains. / Shi, Y; Karatzoglou, A; Baltrunas, L et al.
Proceedings of the 22nd ACM international conference on information and knowledge management. ed. / SN. NY, NY, USA: Association for Computing Machinery (ACM), 2013. p. 2261-2266.

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

TY - GEN

T1 - GAPfm: Optimal top-n recommendations for graded relevance domains

AU - Shi, Y

AU - Karatzoglou, A

AU - Baltrunas, L

AU - Larson, MA

AU - Hanjalic, A

PY - 2013

Y1 - 2013

KW - conference contrib. refereed

KW - Conf.proc. > 3 pag

UR - http://delivery.acm.org/10.1145/2510000/2505653/p2261-shi.pdf?ip=131.180.203.92&id=2505653&acc=ACTIVE%20SERVICE&key=C2716FEBFA981EF1D9D1099820DE7790FFD40F918BEBB60F&CFID=386298736&CFTOKEN=90921277&__acm__=1386345574_0f70b17abd17fa358103fa3b63d0d0f3

M3 - Conference contribution

SN - 978-1-4503-2263-8

SP - 2261

EP - 2266

BT - Proceedings of the 22nd ACM international conference on information and knowledge management

A2 - SN, null

PB - Association for Computing Machinery (ACM)

CY - NY, NY, USA

T2 - the 22nd ACM conference on Information and Knowledge Management

Y2 - 27 October 2013 through 1 November 2013

ER -

GAPfm: Optimal top-n recommendations for graded relevance domains

Publication series

Conference

Keywords

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Cite this