Activity theory as a potential framework for human-computer interaction research
Context and consciousness
From user access patterns to dynamic hypertext linking
Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
Fab: content-based, collaborative recommendation
Communications of the ACM
Discovering models of software processes from event-based data
ACM Transactions on Software Engineering and Methodology (TOSEM)
Web mining for web personalization
ACM Transactions on Internet Technology (TOIT)
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
LinkSelector: A Web mining approach to hyperlink selection for Web portals
ACM Transactions on Internet Technology (TOIT)
An Online Recommender System for Large Web Sites
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
IEEE Transactions on Knowledge and Data Engineering
Business alignment: using process mining as a tool for Delta analysis and conformance testing
Requirements Engineering
Query-sets: using implicit feedback and query patterns to organize web documents
Proceedings of the 17th international conference on World Wide Web
Mining the search trails of surfing crowds: identifying relevant websites from user activity
Proceedings of the 17th international conference on World Wide Web
Intelligent web-based learning system with personalized learning path guidance
Computers & Education
Web Semantics: Science, Services and Agents on the World Wide Web
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Process Mining Put into Context
IEEE Internet Computing
Agent societies and social networks for ubiquitous computing
Personal and Ubiquitous Computing
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Differing from many studies of recommendation that provided the final results directly, our study focuses on providing an optimized process of information seeking to users. Based on process mining, we propose an integrated adaptive framework to support and facilitate individualized recommendation based on the gradual adaptation model that gradually adapts to a target user's transition of needs and behaviors of information access, including various search-related activities, over different time spans. In detail, successful information seeking processes are extracted from the information seeking histories of users. Furthermore, these successful information seeking processes are optimized as a series of action units to support the target users whose information access behavior patterns are similar to the reference users. Based on these, the optimized information seeking processes are navigated to the target users according to their transitions of interest focus. In addition to describing some definitions and measures introduced, we go further to present an optimized process recommendation model and show the system architecture. Finally, we discuss the simulation and scenario for the proposed system.