Automated learning of decision rules for text categorization
ACM Transactions on Information Systems (TOIS)
OHSUMED: an interactive retrieval evaluation and new large test collection for research
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Making large-scale support vector machine learning practical
Advances in kernel methods
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Probabilistic models of information retrieval based on measuring the divergence from randomness
ACM Transactions on Information Systems (TOIS)
Condorcet fusion for improved retrieval
Proceedings of the eleventh international conference on Information and knowledge management
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Information Processing and Management: an International Journal - Modelling vagueness and subjectivity in information access
Journal of Biomedical Informatics - Special issue: Unified medical language system
A formal study of information retrieval heuristics
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Support vector machine learning for interdependent and structured output spaces
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Journal of the American Society for Information Science and Technology
Semantic term matching in axiomatic approaches to information retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Training linear SVMs in linear time
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Answering Clinical Questions with Knowledge-Based and Statistical Techniques
Computational Linguistics
A support vector method for optimizing average precision
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Validity and power of t-test for comparing MAP and GMAP
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Investigating Learning Approaches for Blog Post Opinion Retrieval
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Learning to Rank for Information Retrieval
Foundations and Trends in Information Retrieval
The challenge of high recall in biomedical systematic search
Proceedings of the third international workshop on Data and text mining in bioinformatics
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Automatic text categorization based on content analysis with cognitive situation models
Information Sciences: an International Journal
Viewing term proximity from a different perspective
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
How good is a span of terms?: exploiting proximity to improve web retrieval
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Generalized syntactic and semantic models of query reformulation
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Information Sciences: an International Journal
Personalized recommendation of popular blog articles for mobile applications
Information Sciences: an International Journal
A survey on question answering technology from an information retrieval perspective
Information Sciences: an International Journal
Information Sciences: an International Journal
A quasi-synchronous dependence model for information retrieval
Proceedings of the 20th ACM international conference on Information and knowledge management
Semantic relevance ranking for XML keyword search
Information Sciences: an International Journal
Support vector machines for spam categorization
IEEE Transactions on Neural Networks
Information Sciences: an International Journal
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Evidence-based medicine has recently received a large amount of attention in medical research. To help clinical practices use evidence-based medicine, it should be easy to find the best current evidence that is relevant to the clinical question and has high methodological quality. However, searching for relevant articles and appraising their validity is demanding work for most clinicians. We hypothesize that, through an effective design that addresses the two major aspects - relevance and quality - together with a ranking algorithm, search engines can automatically retrieve articles that are relevant to clinical questions and are based on valid evidence. The contribution of this study has two parts. First, we approach this problem by combining methodologies. After designing a suitable document query-relevance score and methodological quality score, we combined them using various fusion methods. The result was a twofold increase in the mean average precision. Second, for correct evaluation, we built a test collection using a preexisting reliable database, the Cochrane Reviews, which allowed robust and comprehensive evaluation.