Journal ArticleDOI
Toward a user-oriented recommendation system for real estate websites
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TLDR
An online homebuyer's search program is developed, based on an investigation of search behaviors, and a user-oriented recommendation system for real estate websites is implemented via a combination of case-based reasoning and an ontological structure.About:
This article is published in Information Systems.The article was published on 2013-04-01. It has received 73 citations till now. The article focuses on the topics: Real estate & The Internet.read more
Citations
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A Systematic Review of Smart Real Estate Technology: Drivers of, and Barriers to, the Use of Digital Disruptive Technologies and Online Platforms
TL;DR: In this article, the authors present a review of the adoption of disruptive technologies in real estate and how they can furnish consumers with the kind of information that can avert regrets. But their focus is on the impact that the technologies have on key stakeholders, such as consumers, agents, associations, government and regulatory authorities, and complementary industries.
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A Fuzzy Preference Tree-Based Recommender System for Personalized Business-to-Business E-Services
TL;DR: Experimental results show that the proposed fuzzy tree-structured user preference profile reflects user preferences effectively and the recommendation approach demonstrates excellent performance for tree- Structured items, especially in e-business applications.
Journal ArticleDOI
CADRE: Cloud-Assisted Drug REcommendation Service for Online Pharmacies
TL;DR: A novel cloud-assisted drug recommendation (CADRE) is proposed, which can recommend users with top-N related medicines according to symptoms, by modeling and representing the relationship of the user, symptom and medicine via tensor decomposition.
Journal ArticleDOI
Web mining based framework for solving usual problems in recommender systems. A case study for movies' recommendation
TL;DR: This work proposes a complete framework to deal jointly with some of the most important problems of recommender systems: scalability, sparsity, first rater and cold start problems.
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Knowledge-Based Recommendation Systems: A Survey
TL;DR: This survey overviews the main ideas characterizing a Knowledge-Base Recommendation Systems (KBRS), using a classification framework, and discusses KBRS components, user problems for which recommendations are given, knowledge content of the system, and the degree of automation in producing recommendations.
References
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Book
Case-based reasoning
TL;DR: Case-based reasoning as discussed by the authors is one of the fastest growing areas in the field of knowledge-based systems and the first comprehensive text on the subject is presented by a leader in this field.
Journal ArticleDOI
Recommender systems
Paul Resnick,Hal R. Varian +1 more
TL;DR: This special section includes descriptions of five recommender systems, which provide recommendations as inputs, which the system then aggregates and directs to appropriate recipients, and which combine evaluations with content analysis.
Journal ArticleDOI
Hybrid Recommender Systems: Survey and Experiments
TL;DR: This paper surveys the landscape of actual and possible hybrid recommenders, and introduces a novel hybrid, EntreeC, a system that combines knowledge-based recommendation and collaborative filtering to recommend restaurants, and shows that semantic ratings obtained from the knowledge- based part of the system enhance the effectiveness of collaborative filtering.
Proceedings Article
METHONTOLOGY: From Ontological Art Towards Ontological Engineering
TL;DR: The goal of this paper is to clarify to readers interested in building ontologies from scratch, the activities they should perform and in which order, as well as the set of techniques to be used in each phase of the methodology.