Algorithms for clustering data
Algorithms for clustering data
Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Knowledge-based document retrieval in office environments: the Kabiria system
ACM Transactions on Information Systems (TOIS)
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Siteseer: personalized navigation for the Web
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Automatic text structuring and summarization
Information Processing and Management: an International Journal - Special issue: methods and tools for the automatic construction of hypertext
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
ACM Computing Surveys (CSUR)
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Modern Information Retrieval
The Social Life of Information
The Social Life of Information
Context-Aware, Proactive Delivery of Task-Specific Information: The KnowMore Project
Information Systems Frontiers
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
TIME '97 Proceedings of the 4th International Workshop on Temporal Representation and Reasoning (TIME '97)
Mining association rules on significant rare data using relative support
Journal of Systems and Software
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
A practical web-based approach to generating topic hierarchy for text segments
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Centroid-based summarization of multiple documents
Information Processing and Management: an International Journal
TaskTracer: a desktop environment to support multi-tasking knowledge workers
Proceedings of the 10th international conference on Intelligent user interfaces
Hierarchical Clustering Algorithms for Document Datasets
Data Mining and Knowledge Discovery
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Journal of Systems and Software
Incremental click-stream tree model: Learning from new users for web page prediction
Distributed and Parallel Databases
Discovery of knowledge flow in science
Communications of the ACM - Two decades of the language-action perspective
Knowledge flow network planning and simulation
Decision Support Systems
Virtual knowledge service market-For effective knowledge flow within knowledge grid
Journal of Systems and Software
Document recommendation for knowledge sharing in personal folder environments
Journal of Systems and Software
Mining changes in customer buying behavior for collaborative recommendations
Expert Systems with Applications: An International Journal
Task-based K-Support system: disseminating and sharing task-relevant knowledge
Expert Systems with Applications: An International Journal
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Mining group-based knowledge flows for sharing task knowledge
Decision Support Systems
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
Modeling the knowledge-flow view for collaborative knowledge support
Knowledge-Based Systems
A social recommender mechanism for improving knowledge sharing in online forums
Information Processing and Management: an International Journal
Journal of the American Society for Information Science and Technology
Discovering role-based virtual knowledge flows for organizational knowledge support
Decision Support Systems
Hi-index | 0.00 |
Knowledge is a critical resource that organizations use to gain and maintain competitive advantages. In the constantly changing business environment, organizations must exploit effective and efficient methods of preserving, sharing and reusing knowledge in order to help knowledge workers find task-relevant information. Hence, an important issue is how to discover and model the knowledge flow (KF) of workers from their historical work records. The objectives of a knowledge flow model are to understand knowledge workers' task-needs and the ways they reference documents, and then provide adaptive knowledge support. This work proposes hybrid recommendation methods based on the knowledge flow model, which integrates KF mining, sequential rule mining and collaborative filtering techniques to recommend codified knowledge. These KF-based recommendation methods involve two phases: a KF mining phase and a KF-based recommendation phase. The KF mining phase identifies each worker's knowledge flow by analyzing his/her knowledge referencing behavior (information needs), while the KF-based recommendation phase utilizes the proposed hybrid methods to proactively provide relevant codified knowledge for the worker. Therefore, the proposed methods use workers' preferences for codified knowledge as well as their knowledge referencing behavior to predict their topics of interest and recommend task-related knowledge. Using data collected from a research institute laboratory, experiments are conducted to evaluate the performance of the proposed hybrid methods and compare them with the traditional CF method. The results of experiments demonstrate that utilizing the document preferences and knowledge referencing behavior of workers can effectively improve the quality of recommendations and facilitate efficient knowledge sharing.