How Can A User Buyer System Be Used For Enhance Personal Purchasing Decisions?

1629 Words Jan 26th, 2015 7 Pages
Research Question: How can a user buyer system be used to enhance personal purchasing decisions?
Sub-question: Can data mining be used to analyze consumer behaviors and preferences in order to satisfy purchasing decision?

Literature Review
Presently, the online shopping has become increasing in today’s market. Many consumers turn to use the internet for shopping, as a result the online recommender systems have realized for facilitating consumer needs and their interests based on previous shopping behaviors. According to Jiang, Shang, and Liu, Y. (2010) the recommender system is defined as a decision tool that designs to assist consumers need and provide products information that match consumer’ interests based on analyzing previous
…show more content…
The popular one that is concerned to solve the existing problems is data mining techniques. Many recommender systems implement data mining technique as a method to analyze and discover significant consumer knowledge. Mohammed et al. (2013) and Kumar Guptaa and Guptab (2010) state that data mining is defined as a systematical process of exploring and discovering valuable knowledge from large volume of data in data repositories. Data mining aims to extract and disclose hidden vital patterns from data. It has potential to collect relevant data in large volume of database and data warehouse. Additionally, the data mining can use to anticipate future customer trends and help business to gain competitiveness (Liao, Chen, and Lin, 2011).

2.1 Data mining techniques
Deuk et al. (2011) said that the recommender systems normally implement the methodologies and techniques of machine learning and information retrieval. Nevertheless, the most of recommender systems still focus on data mining techniques as the core algorithm. There is a variety of data mining techniques that can be implemented in a recommender system such as clustering technique, association rules, and classification analysis. All these techniques have suggested applying in the recommender systems in order to make its capabilities perform efficiency and potential. Choosing the right data mining techniques for applying to the recommender systems
Open Document