Authors:
Kunyanuth Kularbphettong
1
;
Phayung Meesad
2
and
Gareth Clayton
2
Affiliations:
1
Suan Sunandha Rajabhat University, Thailand
;
2
King Mongkut’s University of Technology North Bangkok, Thailand
Keyword(s):
Collaborative filtering, Multi-agent system, e-WeddingThailand, Web services, Ontology, Data imputation, Data preprocessing techniques.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Data Mining
;
Databases and Information Systems Integration
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Hybrid Intelligent Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Software Engineering
;
Symbolic Systems
Abstract:
Multi-agent system is rapidly emerging as a new paradigm to develop complex and intelligent commerce application systems in e Business. In this paper, we present the findings on the techniques used for data imputation techniques in Collaborative filtering based on multi-agent systems (MAS) of the on-going project, e-WeddingThailand. The aim of our project is to implement MAS combined with various techniques, like Web Services, Ontology, Web Semantic and Data Mining techniques. However, the present paper focuses on the data imputation technique in collaborative filtering utilized in order to treat missing values of customer behavioral patterns for Wedding business. As a result, a model obtained is therefore used as a benchmark for testing potential patterns so that they are used to strengthen the derived model in enhancing the overall system performance.