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Design and Implementation of a User-based Collaborative Filtering Application using Apache Mahout - based on MongoDB -Design and Implementation of a User-based Collaborative Filtering Application using Apache Mahout - based on MongoDB -
- Other Titles
- Design and Implementation of a User-based Collaborative Filtering Application using Apache Mahout - based on MongoDB -
- Issue Date
- 2018
- Publisher
- 한국컴퓨터정보학회
- Keywords
- Mahout; User-based Collaborative Filtering; Movie Recommender System; MongoDB
- Citation
- 한국컴퓨터정보학회논문지, v.23, no.4, pp.89 - 95
- Journal Title
- 한국컴퓨터정보학회논문지
- Volume
- 23
- Number
- 4
- Start Page
- 89
- End Page
- 95
- ISSN
- 1598-849X
- Abstract
- It is not easy for the user to find the information that is appropriate for the user among the suddenly increasing information in recent years. One of the ways to help individuals make decisions in such a lot of information is the recommendation system. Although there are many recommendation methods for such recommendation systems, a representative method is collaborative filtering. In this paper, we design and implement the movie recommendation system on user-based collaborative filtering of apache mahout based on mongoDB. In addition, Pearson correlation coefficient is used as a method of measuring the similarity between users. We evaluate Precision and Recall using the MovieLens 100k dataset for performance evaluation.
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