A behavioural model for information retrieval system design
Journal of Information Science
The dynamic HomeFinder: evaluating dynamic queries in a real-estate information exploration system
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Case-based reasoning
Communications of the ACM
Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
OIL: An Ontology Infrastructure for the Semantic Web
IEEE Intelligent Systems
CBROnto: A Task/Method Ontology for CBR
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
Case-based recommender systems
The Knowledge Engineering Review
An ontology-based similarity measurement for problem-based case reasoning
Expert Systems with Applications: An International Journal
How are we searching the World Wide Web? A comparison of nine search engine transaction logs
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Story plot generation based on CBR
Knowledge-Based Systems
Case-based recommender systems: a unifying view
ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
Building legal ontologies with METHONTOLOGY and WebODE
Law and the Semantic Web
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The Internet has become a significant transaction platform for the real estate industry. However, use of the Internet does not benefit homebuyers in terms of search time, flexibility, and intuitive results. While it does encourage buyers to search more intensively, and discover and visit more properties, it also wastes more time and energy. To improve the efficiency of real estate searches, we developed an online homebuyer's search program, based on an investigation of search behaviors, and implement a user-oriented recommendation system for real estate websites via a combination of case-based reasoning and an ontological structure. An ontological structure is employed to improve information management efficiency while case-based reasoning improves recommendation accuracy. A user test demonstrates the effectiveness of the proposed system and validates the findings of this study. The limitations of the current study are also discussed for future research and applications.