Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Overview of the sixth text REtrieval conference (TREC-6)
Information Processing and Management: an International Journal - The sixth text REtrieval conference (TREC-6)
Ask-an-expert services analysis
Journal of the American Society for Information Science and Technology
What Is Six SIGMA?
Differences and similarities in information seeking: children and adults as web users
Information Processing and Management: an International Journal - Issues of context in information retrieval
Retrieval evaluation with incomplete information
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
The effects of Need for Cognition on Internet use revisited
Computers in Human Behavior
Expert Systems with Applications: An International Journal
Navigation methods of special needs users in multimedia systems
Computers in Human Behavior
Thinking style impacts on Web search strategies
Computers in Human Behavior
Estimating average precision when judgments are incomplete
Knowledge and Information Systems
Leading six sigma: a step-by-step guide based on experience with ge and other six sigma companies
Leading six sigma: a step-by-step guide based on experience with ge and other six sigma companies
Applying Six Sigma in the Field of Software Engineering
IWSM/Metrikon/Mensura '08 Proceedings of the International Conferences on Software Process and Product Measurement
Expert Systems with Applications: An International Journal
A multi-agent based knowledge search framework to support the product development process
International Journal of Computer Integrated Manufacturing
Evaluation of contextual information retrieval effectiveness: overview of issues and research
Knowledge and Information Systems
Probabilistic latent semantic analysis
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Retrieval status values in information retrieval evaluation
SPIRE'05 Proceedings of the 12th international conference on String Processing and Information Retrieval
Adaptive Bayesian Latent Semantic Analysis
IEEE Transactions on Audio, Speech, and Language Processing
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Knowledge retrieval is a decisive part of the performance of a knowledge management system. In order to enhance retrieval accuracy, an effective performance evaluation mechanism is necessary. Nowadays, there is not a standard evaluation framework for knowledge retrieval evaluation, because the evaluation set up is still technology-dependent, focusing on specific elements of the search context. The laboratory-based evaluation is not suitable to evaluate the knowledge retrieval process, since knowledge is dynamic, constantly changing and evolving. Besides, ambiguous query is also an important factor for the performance of knowledge retrieval systems. In order to improve the performance of knowledge retrieval, this paper proposes an evaluation mechanism using Six Sigma methodology to help developers continuously control the knowledge retrieval process. Specifically, this study involves the following tasks: (i) proposes a general knowledge retrieval framework based on the analysis result of knowledge retrieval, (ii) designs the knowledge retrieval evaluation framework using Six Sigma's Define-Measure-Analyze-Improve-Control (DMAIC) process and (iii) develops the related technologies to implement the knowledge retrieval evaluation mechanism. The knowledge retrieval evaluation mechanism allows system developers to maintain the knowledge retrieval system with ease and meanwhile enhance the accuracy.