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Normalizing Item-Based Collaborative Filter Using Context-Aware Scaled Baseline Predictor
Joint Authors
Ma, Wenming
Shi, Junfeng
Zhao, Ruidong
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-05
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Item-based collaborative filter algorithms play an important role in modern commercial recommendation systems (RSs).
To improve the recommendation performance, normalization is always used as a basic component for the predictor models.
Among a lot of normalizing methods, subtracting the baseline predictor (BLP) is the most popular one.
However, the BLP uses a statistical constant without considering the context.
We found that slightly scaling the different components of the BLP separately could dramatically improve the performance.
This paper proposed some normalization methods based on the scaled baseline predictors according to different context information.
The experimental results show that using context-aware scaled baseline predictor for normalization indeed gets better recommendation performance, including RMSE, MAE, precision, recall, and nDCG.
American Psychological Association (APA)
Ma, Wenming& Shi, Junfeng& Zhao, Ruidong. 2017. Normalizing Item-Based Collaborative Filter Using Context-Aware Scaled Baseline Predictor. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1191441
Modern Language Association (MLA)
Ma, Wenming…[et al.]. Normalizing Item-Based Collaborative Filter Using Context-Aware Scaled Baseline Predictor. Mathematical Problems in Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1191441
American Medical Association (AMA)
Ma, Wenming& Shi, Junfeng& Zhao, Ruidong. Normalizing Item-Based Collaborative Filter Using Context-Aware Scaled Baseline Predictor. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1191441
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191441