Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
Data Mining and Knowledge Discovery
SEWeP: using site semantics and a taxonomy to enhance the Web personalization process
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
Newsjunkie: providing personalized newsfeeds via analysis of information novelty
Proceedings of the 13th international conference on World Wide Web
Mining RDF metadata for generalized association rules: knowledge discovery in the semantic web era
Proceedings of the 15th international conference on World Wide Web
Mining Generalized Associations of Semantic Relations from Textual Web Content
IEEE Transactions on Knowledge and Data Engineering
Addressing cold-start problem in recommendation systems
Proceedings of the 2nd international conference on Ubiquitous information management and communication
Word Sense Disambiguation with Semantic Networks
TSD '08 Proceedings of the 11th international conference on Text, Speech and Dialogue
An adaptive personalized news dissemination system
Journal of Intelligent Information Systems
An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence
Data mining for web personalization
The adaptive web
Personalized news categorization through scalable text classification
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
PersoNews: a personalized news reader enhanced by machine learning and semantic filtering
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
Finding association rules in semantic web data
Knowledge-Based Systems
A distributed recommender system architecture
International Journal of Web Engineering and Technology
Automatic Item Weight Generation for Pattern Mining and its Application
International Journal of Data Warehousing and Mining
Weak Ratio Rules: A Generalized Boolean Association Rules
International Journal of Data Warehousing and Mining
User Behaviour Pattern Mining from Weblog
International Journal of Data Warehousing and Mining
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The Web is a continuously evolving environment, since its content is updated on a regular basis. As a result, the traditional usage-based approach to generate recommendations that takes as input the navigation paths recorded on the Web page level, is not as effective. Moreover, most of the content available online is either explicitly or implicitly characterized by a set of categories organized in a taxonomy, allowing the page-level navigation patterns to be generalized to a higher, aggregate level. In this direction, the authors present the Frequent Generalized Pattern FGP algorithm. FGP takes as input the transaction data and a hierarchy of categories and produces generalized association rules that contain transaction items and/or item categories. The results can be used to generate association rules and subsequently recommendations for the users. The algorithm can be applied to the log files of a typical Web site; however, it can be more helpful in a Web 2.0 application, such as a feed aggregator or a digital library mediator, where content is semantically annotated and the taxonomic nature is more complex, requiring us to extend FGP in a version called FGP+. The authors experimentally evaluate both algorithms using Web log data collected from a newspaper Web site.