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Research on personalized recommendation algorithm based on spark.
- Source :
-
AIP Conference Proceedings . 2018, Vol. 1955 Issue 1, pN.PAG-N.PAG. 6p. - Publication Year :
- 2018
-
Abstract
- With the increasing amount of data in the past years, the traditional recommendation algorithm has been unable to meet people’s needs. Therefore, how to better recommend their products to users of interest, become the opportunities and challenges of the era of big data development. At present, each platform enterprise has its own recommendation algorithm, but how to make efficient and accurate push information is still an urgent problem for personalized recommendation system. In this paper, a hybrid algorithm based on user collaborative filtering and content-based recommendation algorithm is proposed on Spark to improve the efficiency and accuracy of recommendation by weighted processing. The experiment shows that the recommendation under this scheme is more efficient and accurate. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ALGORITHMS
*BIG data
*WEIGHTED graphs
*ALGEBRA
*DATA
Subjects
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 1955
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 129246759
- Full Text :
- https://doi.org/10.1063/1.5033737