The measurement of end-user computing satisfaction
MIS Quarterly
Agent theories, architectures, and languages: a survey
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
Assessing IT usage: the role of prior experience
MIS Quarterly
A framework for applying intelligent agents to support electronic trading
Decision Support Systems
The AHP approach for selecting an automobile purchase model
Information and Management
A domain-driven approach to improving search effectiveness in traditional online catalogs
Information and Management
An agent-based model for consumer-to-business electronic commerce
Expert Systems with Applications: An International Journal
Journal of Management Information Systems
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
Journal of Management Information Systems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A hierarchical constraint satisfaction approach to product selection for electronic shopping support
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Multiattribute decision aid with extended ISMAUT
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Acquiring user profiles from implicit feedback in a conversational recommender system
Proceedings of the 7th ACM conference on Recommender systems
Exploring smart phone improvements based on a hybrid MCDM model
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Recommendation systems that provide appropriate solutions to users to reduce their decision complexity have become popular in the Internet world. Designing and evaluating such systems remain essential challenges to researchers and practitioners. Toward that end, a critical task is how to obtain user preferences. Mobile phones have become indispensable in everyday life, yet fierce market competition, characterized by rapid introductions of different models with novel designs and advanced features, have made consumers' purchase decision making increasingly complex. As a well-established, multiple criteria decision technique, analytic hierarchy processing (AHP) provides an intuitive model of a hierarchical structure capable of supporting complex product comparisons and evaluations by consumers. In this paper, we illustrate the application of an AHP-based mechanism to develop a Web-based recommendation system and empirically evaluate the prototype by conducting a controlled experiment with 244 mobile phone users, focusing on both content and system satisfaction. Our evaluation includes benchmark systems built on rank-based analysis and an equal weight-based system as comparative baselines. Overall, the results suggest the viability and value of using AHP to construct effective recommendation systems. Subjects appear satisfied with the recommendations by the AHP-based system, though its relatively demanding input requirements may need mitigation and adequate interface designs. This study contributes to research and practice in recommender systems in general and helps develop mobile phone recommendation systems for online stores and consumers in particular.