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논문검색

Big Data Platform of a System Recommendation in Cloud Environment

초록

영어

Cloud Computing is one of the emerging technologies. This research paper aimed to outline cloud computing and its features, and considered cloud computing for machine learning and data mining. The goal of the paper was to develop a recommendation and search system using big data platform on cloud environment. The main focus was on the study and understanding of Hadoop, one of the new technologies used in the cloud for scalable batch processing, and HBase data model which is a scalable database on top of the Hadoop file system. Accordingly, this project involved the design, analysis and implementation phases for developing the search and recommendation system for staffing purpose. So, mainly the action research method was being followed for this.

목차

Abstract
 1. Introduction
 2. Conceptual Background
 3. Recommendable Search Algorithms
  3.1. K-Nearest Neighbor Algorithm (KNN Algorithm)
  3.2. User-based Collaborative Filtering Algorithm
  3.3. REST Services
 4. Big Data Platform (BDP)
  4.1. Architecture of BDP
  4.2. Data Model of BDP
 5. Recommendation System (RS)
 6. Recommendation System Development
 7. Conclusions
 References

저자정보

  • Jinhong Kim College of Information and Communication Eng., Sungkyunkwan University
  • Sung-Tae Hwang College of Engineering, Hansung University

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