Intelligent information-sharing systems
Communications of the ACM
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fab: content-based, collaborative recommendation
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Horting hatches an egg: a new graph-theoretic approach to collaborative filtering
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Combining collaborative filtering with personal agents for better recommendations
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Content-based book recommending using learning for text categorization
DL '00 Proceedings of the fifth ACM conference on Digital libraries
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Data mining: concepts and techniques
Data mining: concepts and techniques
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Machine Learning
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Minimalist User Modelling in a Complex Commercial Software System
User Modeling and User-Adapted Interaction
Delivering Interactive Services via a Digital TV Infrastructure
IEEE MultiMedia
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
UM '01 Proceedings of the 8th International Conference on User Modeling 2001
Content-boosted collaborative filtering for improved recommendations
Eighteenth national conference on Artificial intelligence
Latent semantic models for collaborative filtering
ACM Transactions on Information Systems (TOIS)
An adaptive system for the personalized access to news
AI Communications
Collaborative filtering by personality diagnosis: a hybrid memory- and model-based approach
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A new restoration-based recommender system for shopping buddy smart carts
International Journal of Business Information Systems
The value of personalised recommender systems to e-business: a case study
Proceedings of the 2008 ACM conference on Recommender systems
Handling sequential pattern decay: Developing a two-stage collaborative recommender system
Electronic Commerce Research and Applications
Collaborative filtering adapted to recommender systems of e-learning
Knowledge-Based Systems
A Multi-Dimensional Paper Recommender
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
A multi-disciplinar recommender system to advice research resources in University Digital Libraries
Expert Systems with Applications: An International Journal
Evaluating Interface Variants on Personality Acquisition for Recommender Systems
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
A Fuzzy Linguistic Recommender System to Disseminate the Own Academic Resources in Universities
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Item-based collaborative filtering recommendation using self-organizing map
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
The role of user mood in movie recommendations
Expert Systems with Applications: An International Journal
A collaborative filtering recommendation algorithm based on SVD smoothing
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
A new collaborative filtering metric that improves the behavior of recommender systems
Knowledge-Based Systems
Information Sciences: an International Journal
The effect of sparsity on collaborative filtering metrics
ADC '09 Proceedings of the Twentieth Australasian Conference on Australasian Database - Volume 92
e-learning experience using recommender systems
Proceedings of the 42nd ACM technical symposium on Computer science education
ICCS'11 Proceedings of the 19th international conference on Conceptual structures for discovering knowledge
Expert Systems with Applications: An International Journal
Enhancing collaborative filtering systems with personality information
Proceedings of the fifth ACM conference on Recommender systems
Collaborative filtering based on significances
Information Sciences: an International Journal
A collaborative filtering similarity measure based on singularities
Information Processing and Management: an International Journal
A framework for collaborative filtering recommender systems
Expert Systems with Applications: An International Journal
Context-aware prediction of user's first click
Proceedings of the 1st International Workshop on Context Discovery and Data Mining
Incorporating reliability measurements into the predictions of a recommender system
Information Sciences: an International Journal
GPU-accelerated restricted boltzmann machine for collaborative filtering
ICA3PP'12 Proceedings of the 12th international conference on Algorithms and Architectures for Parallel Processing - Volume Part I
Designing for video: investigating the contextual cues within viewing situations
Personal and Ubiquitous Computing
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Recommender systems are a special class of personalized systems that aim at predicting a user's interest on available products and services by relying on previously rated items or item features. Human factors associated with a user's personality or lifestyle, although potential determinants of user behavior are rarely considered in the personalization process. In this paper, we demonstrate how the concept of lifestyle can be incorporated in the recommendation process to improve the prediction accuracy by efficiently managing the problem of limited data availability. We propose two approaches: one relying on lifestyle alone and another integrating lifestyle within the nearest neighbor approach. Both approaches are empirically tested in the domain of recommendations for personalized television advertisements and are shown to outperform existing nearest neighborhood approaches in most cases.