Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
User and task analysis for interface design
User and task analysis for interface design
Temporal sequence learning and data reduction for anomaly detection
ACM Transactions on Information and System Security (TISSEC)
Scientific Data Classification: A Case Study
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
Automatically sharing web experiences through a hyperdocument recommender system
Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
Intrusion Detection: A Bioinformatics Approach
ACSAC '03 Proceedings of the 19th Annual Computer Security Applications Conference
User Profiling for Web Page Filtering
IEEE Internet Computing
A Novel Web Page Filtering System by Combining Texts and Images
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Removing biases in unsupervised learning of sequential patterns
Intelligent Data Analysis
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Social Navigation Support for Information Seeking: If You Build It, Will They Come?
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
History Dependent Recommender Systems Based on Partial Matching
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Semantic Web Usage Mining: Using Semantics to Understand User Intentions
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Mining personalization interest and navigation patterns on portal
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Sequence classification using statistical pattern recognition
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
Student modeling and assessment in intelligent tutoring of software patterns
Expert Systems with Applications: An International Journal
Predicting web information content
ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
Modeling how students learn to program
Proceedings of the 43rd ACM technical symposium on Computer Science Education
Characterizing user navigation and interactions in online social networks
Information Sciences: an International Journal
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
Creating Evolving User Behavior Profiles Automatically
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Social knowledge-based recommender system. Application to the movies domain
Expert Systems with Applications: An International Journal
Evolving Fuzzy-Rule-Based Classifiers From Data Streams
IEEE Transactions on Fuzzy Systems
Information extraction from webpages based on DOM distances
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Information systems user security: A structured model of the knowing-doing gap
Computers in Human Behavior
Navigation characteristics of online social networks and search engines users
Proceedings of the 2012 ACM workshop on Workshop on online social networks
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Nowadays, the systems that interact with the user, including computers, are improving very quickly. In this improvement, a great goal for the near future is to create systems able to adapt its behavior according to the needs of a particular user. The key element for this purpose is the user model. In this context, a goal of user modeling is to increase the effective use of computers and many other systems that require more sophistication in its interaction with the user. To achieve this goal, it is necessary to know how the users behave. Then, the anticipation of certain aspects of human behavior, such as goals, actions or preferences is possible. In this article, the development of user models using soft computing is presented. The main approaches to different user modeling are reviewed, and the main techniques used to develop user models are discussed. Also, a particular example is explained in detail.