LibRec: A Java library for recommender systems

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

Research output: Contribution to journalConference articleScientificpeer-review

46 Citations (Scopus)
20 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 - 1 Jul 2015
Externally publishedYes
Event23rd Conference on User Modeling, Adaptation, and Personalization, UMAP 2015 - Dublin, Ireland
Duration: 29 Jun 20153 Jul 2015

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