An Improved ALS Recommendation Model Based on Apache Spark-Reference-Cited by-同舟云学术

An Improved ALS Recommendation Model Based on Apache Spark

Published:2018 Issue: Volume: Page:302-311
ISSN:1865-0929
Container-title:Soft Computing Systems
language:
Short-container-title:

Author:

Aljunid Mohammed Fadhel,Manjaiah D. H.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-1936-5_33

Reference15 articles.

1. Cacheda, F., Carneiro, V., Fernández, D., Formoso, V.: Comparison of collaborative filtering algorithms: limitations of current techniques and proposals for scalable, high-performance recommender systems. ACM Trans. Web (TWEB) 5(1), 2 (2011)

2. Verma, J.P., Patel, B., Patel, A.: Big data analysis: recommendation system with Hadoop framework. In: 2015 IEEE International Conference on Computational Intelligence & Communication Technology (CICT) (2015)

3. https://spark.apache.org/docs/latest/ . Accessed 10 Mar 2018

4. Lecture Notes in Computer Science;Y Zhou,2008

5. Wang, Q., Yuan, X., Sun, M.: Collaborative filtering recommendation algorithm based on hybrid user model. In: 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), vol. 4. IEEE (2010)

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. A Comprehensive Survey On Recommendation Systems Based On Collaborative Filtering;2022 International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS);2022-06-23

2. A Recommendation System for Job Providers Using a Big Data Approach;Advances in Computational Collective Intelligence;2022

3. Efficient Distributed Matrix Factorization Alternating Least Squares (EDMFALS) for Recommendation Systems Using Spark;Journal of Information & Knowledge Management;2021-12-04

4. HEALS: A Parallel eALS Recommendation System on CPU/GPU Heterogeneous Platforms;2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC);2021-12

5. Multi‐model deep learning approach for collaborative filtering recommendation system;CAAI Transactions on Intelligence Technology;2020-11-05