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)

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 languageEnglish
Number of pages4
JournalCEUR Workshop Proceedings
Volume1388
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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