A Collaborative Filtering System Using Clustering and Genetic Algorithms
| Autor: | Soojung Lee |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry media_common.quotation_subject 02 engineering and technology Recommender system Machine learning computer.software_genre 020204 information systems Genetic algorithm Scalability 0202 electrical engineering electronic engineering information engineering Collaborative filtering 020201 artificial intelligence & image processing Simplicity Artificial intelligence business Cluster analysis computer media_common |
| Zdroj: | Data Mining and Big Data ISBN: 9789813295629 DMBD |
| Popis: | Recommender systems have been essential these days to assist online customers to acquire useful information. However, one of the popular types of the systems called memory-based collaborative filtering suffers from several fundamental problems in spite of its main advantages such as simplicity and efficiency. This study addresses the scalability problem which is one of major problems of the system. We employ a clustering technique to handle the problem and propose a novel idea using the genetic algorithm to enhance the performance of the system in terms of prediction accuracy, not to mention scalability. Experimental results demonstrated successful performance achievements of the proposed method under various data conditions. |
| Databáze: | OpenAIRE |
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