LibRec

LibRec: A Java Library for Recommender Systems. LibRec (http://www.librec.net) is a Java library for recommender systems (Java version 1.7 or higher required). It implements a suit of state-of-the-art recommendation algorithms, aiming to resolve two classic recommendation tasks: rating prediction and item ranking.

Keywords for this software

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References in zbMATH (referenced in 6 articles )

Showing results 1 to 6 of 6.
Sorted by year (citations)

  1. Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia: Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation (2021) arXiv
  2. Phuong T. Nguyen, Juri Di Rocco, Davide Di Ruscio, Massimiliano Di Penta: CrossRec: Supporting software developers by recommending third-party libraries (2020) not zbMATH
  3. Rohan Anand, Joeran Beel: Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization (2020) arXiv
  4. Salah, Aghiles; Truong, Quoc-Tuan; Lauw, Hady W.: Cornac: a comparative framework for multimodal recommender systems (2020)
  5. Zhensu Sun, Yan Liu, Ziming Cheng, Chen Yang, Pengyu Che: Req2Lib: A Semantic Neural Model for Software Library Recommendation (2020) arXiv
  6. Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun: DeepRec: An Open-source Toolkit for Deep Learning based Recommendation (2019) arXiv