Information retrieval
MiBiblio: personal spaces in a digital library universe
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Link prediction and path analysis using Markov chains
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Using Markov models for web site link prediction
Proceedings of the thirteenth ACM conference on Hypertext and hypermedia
Information Retrieval
Web mining for web personalization
ACM Transactions on Internet Technology (TOIT)
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
On Personalizing the Catalogs of Web Portals
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
Analysis of navigation behaviour in web sites integrating multiple information systems
The VLDB Journal — The International Journal on Very Large Data Bases
Relational Markov models and their application to adaptive web navigation
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Web Usage Mining as a Tool for Personalization: A Survey
User Modeling and User-Adapted Interaction
Probabilistic User Behavior Models
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Selective Markov models for predicting Web page accesses
ACM Transactions on Internet Technology (TOIT)
A personalized collaborative digital library environment: a model and an application
Information Processing and Management: an International Journal - Special issue: An Asian digital libraries perspective
A trie-based APRIORI implementation for mining frequent item sequences
Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations
Personalized digital e-library service using users’ profile information
ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
Incremental collaborative filtering for highly-scalable recommendation algorithms
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Program transformations for information personalization
Computer Languages, Systems and Structures
WebUser: mining unexpected web usage
International Journal of Business Intelligence and Data Mining
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Topic directories are popular means of organizing information resources in the web. In this work, we introduce a methodology for personalizing topic directories. The key feature of our methodology is that the personalization is based on the mining of navigation patterns extracted from previous user visits. These patterns, expressed in the form of visited categories and retrieved resources, represent the navigation behaviour and interests of different users or user groups. Our work provides a set of mining tasks for user navigation patterns and a set of personalization tasks that customize the organization of the topic directory according to these patterns for certain user groups.