Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Siteseer: personalized navigation for the Web
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Communications of the ACM
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Decision Support Systems
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Decision Support Systems
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Decision Support Systems
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Decision Support Systems
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Decision Support Systems
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Decision Support Systems
Collaborative filtering based on workflow space
Expert Systems with Applications: An International Journal
Knowledge Grid Based Knowledge Supply Model
IEICE - Transactions on Information and Systems
Expert Systems with Applications: An International Journal
An inner-enterprise knowledge recommender system
Expert Systems with Applications: An International Journal
Mining changes in customer buying behavior for collaborative recommendations
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Distributed recommender for peer-to-peer knowledge sharing
Information Sciences: an International Journal
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Knowledge-Based Systems
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Decision Support Systems
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Expert Systems with Applications: An International Journal
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Expert Systems with Applications: An International Journal
Extraction of user profile based on workflow and information flow
Expert Systems with Applications: An International Journal
Mining knowledge demands from information flow
Expert Systems with Applications: An International Journal
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
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RESYGEN: A Recommendation System Generator using domain-based heuristics
Expert Systems with Applications: An International Journal
A trust-semantic fusion-based recommendation approach for e-business applications
Decision Support Systems
Collective intelligence as mechanism of medical diagnosis: The iPixel approach
Expert Systems with Applications: An International Journal
A hybrid recommendation approach for a tourism system
Expert Systems with Applications: An International Journal
Knowledge-Based Systems
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This paper proposes a workflow-based recommender system model on supplying proper knowledge to proper members in collaborative team contexts rather than daily life scenarios, e.g., recommending commodities, films, news, etc. Within collaborative team contexts, more information could be utilized by recommender systems than ordinary daily life contexts. The workflow in collaborative team contains information about relationships among members, roles and tasks, which could be combined with collaborative filtering to obtain members' demands for knowledge. In addition, the work schedule information contained in the workflow could also be employed to determine the proper volume of knowledge that should be recommended to each member. In this paper, we investigate the mechanism of the workflow-based recommender system, and conduct a series of experiments referring to several real-world collaborative teams to validate the effectiveness and efficiency of the proposed methods.