A hierarchical multi-criteria sorting approach for recommender systems
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A hierarchical multi-criteria sorting approach for recommender systems
Authors
Keywords
Recommender systems, Classification, Sorting, Hierarchy of criteria, Decision support systems
Journal
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
Volume 46, Issue 2, Pages 313-346
Publisher
Springer Nature
Online
2015-05-18
DOI
10.1007/s10844-015-0362-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models
- (2015) Manjeevan Seera et al. EXPERT SYSTEMS WITH APPLICATIONS
- Biogas plants site selection integrating Multicriteria Decision Aid methods and GIS techniques: A case study in a Portuguese region
- (2014) Sandra Silva et al. BIOMASS & BIOENERGY
- Intelligent tourism recommender systems: A survey
- (2014) Joan Borràs et al. EXPERT SYSTEMS WITH APPLICATIONS
- GIS-based photovoltaic solar farms site selection using ELECTRE-TRI: Evaluating the case for Torre Pacheco, Murcia, Southeast of Spain
- (2014) Juan M. Sánchez-Lozano et al. RENEWABLE ENERGY
- A linguistic multi-criteria decision making approach based on logical reasoning
- (2013) Shuwei Chen et al. INFORMATION SCIENCES
- Mobile recommender systems in tourism
- (2013) Damianos Gavalas et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Robust ordinal regression in preference learning and ranking
- (2013) Salvatore Corrente et al. MACHINE LEARNING
- Operational tools to build a multicriteria territorial risk scale with multiple stakeholders
- (2013) Olivier Cailloux et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- SigTur/E-Destination: Ontology-based personalized recommendation of Tourism and Leisure Activities
- (2012) Antonio Moreno et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Eliciting Electre Tri category limits for a group of decision makers
- (2012) Olivier Cailloux et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A literature review and classification of recommender systems research
- (2012) Deuk Hee Park et al. EXPERT SYSTEMS WITH APPLICATIONS
- Content-based and collaborative techniques for tag recommendation: an empirical evaluation
- (2012) Pasquale Lops et al. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
- Effects of imprecise weighting in hierarchical preference programming
- (2011) Jyri Mustajoki EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Multicriteria User Modeling in Recommender Systems
- (2011) Kleanthi Lakiotaki et al. IEEE INTELLIGENT SYSTEMS
- Designing utility-based recommender systems for e-commerce: Evaluation of preference-elicitation methods
- (2010) Shiu-li Huang Electronic Commerce Research and Applications
- Preference disaggregation and statistical learning for multicriteria decision support: A review
- (2010) Michael Doumpos et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Consumer decision making in knowledge-based recommendation
- (2010) Monika Mandl et al. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
- A multicriteria methodology for equity selection using financial analysis
- (2009) Panagiotis Xidonas et al. COMPUTERS & OPERATIONS RESEARCH
- A multicriteria model for risk sorting of natural gas pipelines based on ELECTRE TRI integrating Utility Theory
- (2009) Anderson J. Brito et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A new cognitive model: Cloud model
- (2009) Deyi Li et al. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
- A review of methods for capacity identification in Choquet integral based multi-attribute utility theory
- (2007) Michel Grabisch et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started