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RecoLibry-core: A component-based framework for building recommender systems

  • Published:2019-10 Issue: Volume:182 Page:104854
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Jorro-Aragoneses Jose L.,Recio-García Juan A.,Díaz-Agudo Belén,Jimenez-Díaz Guillermo

Funder

UCM

Ministry of Economy and Competitiveness

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference9 articles.

1. Recommender systems: introduction and challenges;Ricci,2015

2. Comparative evaluation of top-n recommenders in e-commerce: An industrial perspective;Paraschakis,2015

3. Rethinking the recommender research ecosystem: Reproducibility, openness, and Lenskit;Ekstrand,2011

4. Prototyping recommender systems in jcolibri;Recio-García,2008

5. Mahout in Action;Owen,2011

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Collaborative Filtering-Based Music Recommendation in View of Negative Feedback System;Proceedings of Third International Conference on Computing, Communications, and Cyber-Security;2022-07-03

2. Mapping the links between Industry 4.0, circular economy and sustainability: a systematic literature review;Journal of Enterprise Information Management;2022-02-03

3. Toward a Knowledge-based Personalised Recommender System for Mobile App Development;JUCS - Journal of Universal Computer Science;2021-02-28

4. Assisting Users in Decisions Using Fuzzy Ontologies: Application in the Wine Market;Mathematics;2020-10-07

5. RecoLibry Suite: a set of intelligent tools for the development of recommender systems;Automated Software Engineering;2020-03-31
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