Hybrid recommendation and parallelization of movies based on spark
Authors
Mengpu Zhou, Yu Liu
Corresponding Author
Mengpu Zhou
Available Online January 2018.
- DOI
- 10.2991/macmc-17.2018.81How to use a DOI?
- Keywords
- collaborative filtering, recommendation algorithm, huge data, spark.
- Abstract
With the exponential growth of Internet data,the traditional stand-alone computational model has been unable to solve the real-time precise recommendation items in a complex and huge data,and the defect of traditional recommendation algorithm has become more obvious,this paper studies the collaborative filtering algorithm and matrix decomposition method,designs a parallel computing architecture based on spark,and a movie recommendation based on hybrid recommendation algorithm [1],the experimental results show that in a certain extent improves the recommendation accuracy and scalability,and has good acceleration effect.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Mengpu Zhou AU - Yu Liu PY - 2018/01 DA - 2018/01 TI - Hybrid recommendation and parallelization of movies based on spark BT - Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017) PB - Atlantis Press SP - 437 EP - 442 SN - 2352-5401 UR - https://doi.org/10.2991/macmc-17.2018.81 DO - 10.2991/macmc-17.2018.81 ID - Zhou2018/01 ER -