Implementing agglomerative hierarchic clustering algorithms for use in document retrieval
Information Processing and Management: an International Journal
Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Grouper: a dynamic clustering interface to Web search results
WWW '99 Proceedings of the eighth international conference on World Wide Web
A hybrid user model for news story classification
UM '99 Proceedings of the seventh international conference on User modeling
Towards adaptive Web sites: conceptual framework and case study
Artificial Intelligence - Special issue on Intelligent internet systems
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Automatic Topic Identification Using Webpage Clustering
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Predicting user preferences: from semantic to pragmatic metrics of Web navigation behavior
Dutch HCI '04 Proceedings of the conference on Dutch directions in HCI
AgenPerso: a user interface based on personal software agents for public transportation users
IHM 2003 Proceedings of the 15th French-speaking conference on human-computer interaction on 15eme Conference Francophone sur l'Interaction Homme-Machine
Mining interesting knowledge from weblogs: a survey
Data & Knowledge Engineering
Intelligent file management in ubiquitous environments
Proceedings of the 2005 ACM symposium on Applied computing
Privacy-enhancing personalized web search
Proceedings of the 16th international conference on World Wide Web
Time spent on a web page is sufficient to infer a user's interest
IMSA'07 IASTED European Conference on Proceedings of the IASTED European Conference: internet and multimedia systems and applications
Personalized information retrieval based on context and ontological knowledge
The Knowledge Engineering Review
User Profile Modeling in the context of web-based learning management systems
Journal of Network and Computer Applications
Analysis of QoS in cooperative services for real time applications
Data & Knowledge Engineering
Personalization algorithms for portable personality
Proceedings of the 12th international conference on Entertainment and media in the ubiquitous era
Discovery of a User Interests on the Internet
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Using social data as context for making recommendations: an ontology based approach
Proceedings of the 1st Workshop on Context, Information and Ontologies
Relevence Assessment of Topic Ontology
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
Argo: intelligent advertising by mining a user's interest from his photo collections
Proceedings of the Third International Workshop on Data Mining and Audience Intelligence for Advertising
Reinforcing Recommendation Using Implicit Negative Feedback
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Towards a graph-based user profile modeling for a session-based personalized search
Knowledge and Information Systems
A fully automated recommender system using collaborative filters
CIIT '07 The Sixth IASTED International Conference on Communications, Internet, and Information Technology
Creating User Profiles Using Wikipedia
ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
Time spent on a web page is sufficient to infer a user's interest
EurolMSA '07 Proceedings of the Third IASTED European Conference on Internet and Multimedia Systems and Applications
Interest based selection of user generated content for rich communication services
Journal of Network and Computer Applications
Personalized news recommendation based on click behavior
Proceedings of the 15th international conference on Intelligent user interfaces
A portal-based tool for developing, delivering and working with guidelines
UAHCI'07 Proceedings of the 4th international conference on Universal access in human computer interaction: coping with diversity
User profiles for personalized information access
The adaptive web
Extracting user profiles from large scale data
Proceedings of the 2010 Workshop on Massive Data Analytics on the Cloud
Learning implicit user interests using ontology and search history for personalization
WISE'07 Proceedings of the 2007 international conference on Web information systems engineering
Scalable distributed inference of dynamic user interests for behavioral targeting
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
LOGO: a long-short user interest integration in personalized news recommendation
Proceedings of the fifth ACM conference on Recommender systems
A Multi-agent System Using Ontological User Profiles for Dynamic User Modelling
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Using probabilistic latent semantic analysis for personalized web search
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Using a user-interactive QA system to capture student’s interest and authority about course content
ICWL'06 Proceedings of the 5th international conference on Advances in Web Based Learning
UP-DRES: user profiling for a dynamic REcommendation system
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
Personalized search results with user interest hierarchies learnt from bookmarks
WebKDD'05 Proceedings of the 7th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis
Enabling topic-level trust for collaborative information sharing
Personal and Ubiquitous Computing
Personalized celebrity video search based on cross-space mining
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Intuitive Topic Discovery by Incorporating Word-Pair's Connection Into LDA
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Towards a robust modeling of temporal interest change patterns for behavioral targeting
Proceedings of the 22nd international conference on World Wide Web
An intelligent system for personalized information retrieval: a genetic approach
Proceedings of the International C* Conference on Computer Science and Software Engineering
Modeling and broadening temporal user interest in personalized news recommendation
Expert Systems with Applications: An International Journal
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To provide a more robust context for personalization, we desire to extract a continuum of general (long-term) to specific (short-term) interests of a user. Our proposed approach is to learn a user interest hierarchy (UIH) from a set of web pages visited by a user. We devise a divisive hierarchical clustering (DHC) algorithm to group words (topics) into a hierarchy where more general interests are represented by a larger set of words. Each web page can then be assigned to nodes in the hierarchy for further processing in learning and predicting interests. This approach is analogous to building a subject taxonomy for a library catalog system and assigning books to the taxonomy. Our approach does not need user involvement and learns the UIH "implicitly." Furthermore, it allows the original objects, web pages, to be assigned to multiple topics (nodes in the hierarchy). In this paper, we focus on learning the UIH from a set of visited pages. We propose a few similarity functions and dynamic threshold-finding methods, and evaluate the resulting hierarchies according to their meaningfulness and shape