Librec: a Java library for recommender systems

Guibing Guo; Jie Zhang; Zhu Sun; Neil Yorke-Smith

Librec: a Java library for recommender systems

Guibing Guo, Jie Zhang, Zhu Sun, Neil Yorke-Smith

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78 Citations (Scopus)

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Abstract

The large array of recommendation algorithms proposed over the years brings a challenge in reproducing and comparing their performance. This paper introduces an open-source Java library that implements a suite of state-of-the-art algorithms as well as a series of evaluation metrics. We empirically find that LibRec performs faster than other such libraries, while achieving competitive evaluative performance.

Original language	English
Number of pages	4
Journal	CEUR Workshop Proceedings
Volume	1388
Publication status	Published - 2015
Externally published	Yes
Event	Workshop on the 23rd Conference on User Modeling, Adaptation, and Personalization, UMAP 2015 - Dublin, Ireland Duration: 29 Jun 2015 → 3 Jul 2015

Bibliographical note

Copyright the Author(s) 2015. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

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Publisher version (open access)Final published version, 214 KBLicence: CC BY

Cite this

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title = "Librec: a Java library for recommender systems",

abstract = "The large array of recommendation algorithms proposed over the years brings a challenge in reproducing and comparing their performance. This paper introduces an open-source Java library that implements a suite of state-of-the-art algorithms as well as a series of evaluation metrics. We empirically find that LibRec performs faster than other such libraries, while achieving competitive evaluative performance.",

author = "Guibing Guo and Jie Zhang and Zhu Sun and Neil Yorke-Smith",

note = "Copyright the Author(s) 2015. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher. ; Workshop on the 23rd Conference on User Modeling, Adaptation, and Personalization, UMAP 2015 ; Conference date: 29-06-2015 Through 03-07-2015",

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language = "English",

volume = "1388",

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T2 - Workshop on the 23rd Conference on User Modeling, Adaptation, and Personalization, UMAP 2015

AU - Guo, Guibing

AU - Zhang, Jie

AU - Sun, Zhu

AU - Yorke-Smith, Neil

N1 - Copyright the Author(s) 2015. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2015

Y1 - 2015

N2 - The large array of recommendation algorithms proposed over the years brings a challenge in reproducing and comparing their performance. This paper introduces an open-source Java library that implements a suite of state-of-the-art algorithms as well as a series of evaluation metrics. We empirically find that LibRec performs faster than other such libraries, while achieving competitive evaluative performance.

AB - The large array of recommendation algorithms proposed over the years brings a challenge in reproducing and comparing their performance. This paper introduces an open-source Java library that implements a suite of state-of-the-art algorithms as well as a series of evaluation metrics. We empirically find that LibRec performs faster than other such libraries, while achieving competitive evaluative performance.

UR - http://www.scopus.com/inward/record.url?scp=85072775238&partnerID=8YFLogxK

M3 - Conference paper

AN - SCOPUS:85072775238

SN - 1613-0073

VL - 1388

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 29 June 2015 through 3 July 2015

ER -

Librec: a Java library for recommender systems

Abstract

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