Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
The nature of statistical learning theory
The nature of statistical learning theory
Fab: content-based, collaborative recommendation
Communications of the ACM
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
On the complexity of data disjunctions
Theoretical Computer Science - Complexity and logic
A Taxonomy of Recommender Agents on theInternet
Artificial Intelligence Review
Mining customer product ratings for personalized marketing
Decision Support Systems - Special issue: Web data mining
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
Modelling B2B Conversations with COOL for SemanticWeb Services
AICT-ICIW '06 Proceedings of the Advanced Int'l Conference on Telecommunications and Int'l Conference on Internet and Web Applications and Services
An intelligent knowledge-based recommendation system
Intelligent information processing II
Management Information Systems: Managing the Digital Firm (10th Edition)
Management Information Systems: Managing the Digital Firm (10th Edition)
A study of context inference for Web-based information systems
Electronic Commerce Research and Applications
Journal of Management Information Systems
An Ontology-Based Product Recommender System for B2B Marketplaces
International Journal of Electronic Commerce
Generating semantically enriched user profiles for Web personalization
ACM Transactions on Internet Technology (TOIT)
LA-WEB '07 Proceedings of the 2007 Latin American Web Conference
A semantic-expansion approach to personalized knowledge recommendation
Decision Support Systems
A new adaptive digital audio watermarking based on support vector machine
Journal of Network and Computer Applications
Multiclass support vector machines for diagnosis of erythemato-squamous diseases
Expert Systems with Applications: An International Journal
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Application of support vector machines to bandwidth reservation in sectored cellular communications
Engineering Applications of Artificial Intelligence
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Intelligent knowledge recommendation system based on web log and cache data
ICWL'06 Proceedings of the 5th international conference on Advances in Web Based Learning
A semantic recommender engine enabling an etourism scenario
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
A novel large-memory neural network as an aid in medical diagnosis applications
IEEE Transactions on Information Technology in Biomedicine
Input feature selection for classification problems
IEEE Transactions on Neural Networks
Support vector machine with adaptive parameters in financial time series forecasting
IEEE Transactions on Neural Networks
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Recommendations have reached a new dimension in a ubiquitous computing environment. A vast amount of information is coming from pervasive services and devices, providing a potential source of value-added knowledge. However, this knowledge must be exposed through a classification technique such as Support Vector Machines (SVMs), which would allow categorising, classifying and evaluating this information based on features and profiles to foster the efficiency of recommendations of informational items. This paper presents an algorithm based on SVMs and an underlying architecture to extract and build a number of recommendations based on features and profile preferences from the user.