Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
A cognitive view of the situational dynamism of user-centered relevance estimation
Journal of the American Society for Information Science - Special issue: relevance research
Task complexity affects information seeking and use
Information Processing and Management: an International Journal
Fab: content-based, collaborative recommendation
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
A multilevel approach to intelligent information filtering: model, system, and evaluation
ACM Transactions on Information Systems (TOIS)
Information Processing and Management: an International Journal
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Decision Support Systems - From information retrieval to knowledge management: enabling technologies and best practices
Relevance and contributing information types of searched documents in task performance
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Learning user interest dynamics with a three-descriptor representation
Journal of the American Society for Information Science and Technology
MetaSpider: meta-searching and categorization on the Web
Journal of the American Society for Information Science and Technology
Information Retrieval
Modern Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Supporting reuse by delivering task-relevant and personalized information
Proceedings of the 24th International Conference on Software Engineering
Working Knowledge: How Organizations Manage What They Know
Working Knowledge: How Organizations Manage What They Know
Enterprise Knowledge Management
Computer
Incorporating user search behavior into relevance feedback
Journal of the American Society for Information Science and Technology
Changes of search terms and tactics while writing a research proposal A longitudinal case study
Information Processing and Management: an International Journal
Process-Aware Knowledge Retrieval
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7 - Volume 7
KnowledgeScope: managing knowledge in context
Decision Support Systems
The role of IT in successful knowledge management initiatives
Communications of the ACM - Why CS students need math
Stimulating knowledge discovery and sharing
GROUP '03 Proceedings of the 2003 international ACM SIGGROUP conference on Supporting group work
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
Understanding implicit feedback and document preference: a naturalistic user study
Understanding implicit feedback and document preference: a naturalistic user study
A study of topic similarity measures
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Enterprise Content Management: An Integrated Perspective on Information Management
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 4 - Volume 04
Relevant Data Expansion for Learning Concept Drift from Sparsely Labeled Data
IEEE Transactions on Knowledge and Data Engineering
Robustness of adaptive filtering methods in a cross-benchmark evaluation
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Seeking and implementing automated assistance during the search process
Information Processing and Management: an International Journal
The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
Journal of the American Society for Information Science and Technology
Topic evolution and social interactions: how authors effect research
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
A study on the effects of personalization and task information on implicit feedback performance
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Topic discovery based on text mining techniques
Information Processing and Management: an International Journal
Eliciting better information need descriptions from users of information search systems
Information Processing and Management: an International Journal
Collaborative relevance assessment for task-based knowledge support
Decision Support Systems
Information Processing and Management: an International Journal
An implicit feedback approach for interactive information retrieval
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Modeling user interests by conceptual clustering
Information Systems
Interface agents personalizing Web-based tasks
Cognitive Systems Research
Modeling the knowledge-flow view for collaborative knowledge support
Knowledge-Based Systems
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For projects in knowledge-intensive domains, it is crucially important that knowledge management systems are able to track and infer workers' up-to-date information needs so that task-relevant information can be delivered in a timely manner. To put a worker's dynamic information needs into perspective, we propose a topic variation inspection model to facilitate the application of an implicit relevance feedback (IRF) algorithm and collaborative filtering in user modeling. The model analyzes variations in a worker's task-needs for a topic (i.e., personal topic needs) over time, monitors changes in the topics of collaborative actors, and then adjusts the worker's profile accordingly. We conducted a number of experiments to evaluate the efficacy of the model in terms of precision, recall, and F-measure. The results suggest that the proposed collaborative topic variation inspection approach can substantially improve the performance of a basic profiling method adapted from the classical RF algorithm. It can also improve the accuracy of other methods when a worker's information needs are vague or evolving, i.e., when there is a high degree of variation in the worker's topic-needs. Our findings have implications for the design of an effective collaborative information filtering and retrieval model, which is crucial for reusing an organization's knowledge assets effectively. © 2009 Wiley Periodicals, Inc.