a Java library for recommender systems

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

Research output: Contribution to journalConference paper

39 Citations (Scopus)
94 Downloads (Pure)


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 languageEnglish
Number of pages4
JournalCEUR Workshop Proceedings
Publication statusPublished - 2015
Externally publishedYes
EventWorkshop on the 23rd Conference on User Modeling, Adaptation, and Personalization, UMAP 2015 - Dublin, Ireland
Duration: 29 Jun 20153 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.

Fingerprint Dive into the research topics of 'Librec: a Java library for recommender systems'. Together they form a unique fingerprint.

Cite this