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Research of Data Sparsity Based on Collaborative Filtering Algorithm
- Source :
- Applied Mechanics and Materials; November 2013, Vol. 462 Issue: 1 p856-860, 5p
- Publication Year :
- 2013
-
Abstract
- During the traditional collaborative filtering recommendation algorithm be impacted by itself data sparseness problem. It can not provide accurate recommendation result. In this paper, Using traditional collaborative filtering algorithm and the concept of similar level, take advantage of the idea of data populating to solve sparsity problem, then using the Weighted Slope One algorithm to recommend calculating. Experimental results show that the improved algorithm solved the problem of the recommendation results of low accuracy because of the sparse scoring matrix, and it improved the algorithm recommended results to a certain extent.
Details
- Language :
- English
- ISSN :
- 16609336 and 16627482
- Volume :
- 462
- Issue :
- 1
- Database :
- Supplemental Index
- Journal :
- Applied Mechanics and Materials
- Publication Type :
- Periodical
- Accession number :
- ejs31708970
- Full Text :
- https://doi.org/10.4028/www.scientific.net/AMM.462-463.856