Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Content-based book recommending using learning for text categorization
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
Automatic personalization based on Web usage mining
Communications of the ACM
Harvard Business Review on Knowledge Management
Harvard Business Review on Knowledge Management
On the recommending of citations for research papers
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
Knowledge logistics in information grid environment
Future Generation Computer Systems - Special issue: Semantic grid and knowledge grid: the next-generation web
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
Incorporating contextual information in recommender systems using a multidimensional approach
ACM Transactions on Information Systems (TOIS)
IEEE Transactions on Knowledge and Data Engineering
Discovery of knowledge flow in science
Communications of the ACM - Two decades of the language-action perspective
Mining Ontology for Automatically Acquiring Web User Information Needs
IEEE Transactions on Knowledge and Data Engineering
DCFLA: A distributed collaborative-filtering neighbor-locating algorithm
Information Sciences: an International Journal
AdROSA-Adaptive personalization of web advertising
Information Sciences: an International Journal
Using SVD and demographic data for the enhancement of generalized Collaborative Filtering
Information Sciences: an International Journal
A knowledge engineering approach to knowledge management
Information Sciences: an International Journal
A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
Information Sciences: an International Journal
Developing recommender systems with the consideration of product profitability for sellers
Information Sciences: an International Journal
An empirical study of the effects of knowledge sharing and learning behaviors on firm performance
Expert Systems with Applications: An International Journal
Facilitating experience reuse among software project managers
Information Sciences: an International Journal
Relevence Assessment of Topic Ontology
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
Recommender system based on workflow
Decision Support Systems
Mining changes in customer buying behavior for collaborative recommendations
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Agent-based buddy-finding methodology for knowledge sharing
Information and Management
Modeling user interests by conceptual clustering
Information Systems
Distributed recommender for peer-to-peer knowledge sharing
Information Sciences: an International Journal
| Hi-index | 12.05 |
Among a collaborative team, members usually come from diverse disciplines, and their demands for knowledge are also different from each other. Information flow is a type of collaborative process, which exists behind every collaborative team. This paper is concerned with how to obtain team members' knowledge demands from the information flow. Firstly, the knowledge demands model is defined. Based on the model of knowledge demands and information filtering technologies, some approaches for mining demands from information flow are proposed. This study on the knowledge demand mining can pave the way for developing knowledge recommender systems, which can recommend proper knowledge to proper team members with a collaborative team.