Evaluating interactive systems in TREC
Journal of the American Society for Information Science - Special issue: evaluation of information retrieval systems
Filtered document retrieval with frequency-sorted indexes
Journal of the American Society for Information Science
Self-indexing inverted files for fast text retrieval
ACM Transactions on Information Systems (TOIS)
Combining fuzzy information from multiple systems (extended abstract)
PODS '96 Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Optimization of inverted vector searches
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
DOLORES: a system for logic-based retrieval of multimedia objects
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Combining fuzzy information from multiple systems
Journal of Computer and System Sciences
Optimizing Multi-Feature Queries for Image Databases
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Region proximity in metric spaces and its use for approximate similarity search
ACM Transactions on Information Systems (TOIS)
XIRQL: An XML query language based on information retrieval concepts
ACM Transactions on Information Systems (TOIS)
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Content-only queries in hierarchically structured documents should retrieve the most specific document nodes which are exhaustive to the information need. For this problem, we investigate two methods of augmentation, which both yield high retrieval quality. As retrieval effectiveness, we consider the ratio of retrieval quality and response time; thus, fast approximations to the 'correct' retrieval result may yield higher effectiveness. We present a classification scheme for algorithms addressing this issue, and adopt known algorithms from standard document retrieval for XML retrieval. As a new strategy, we propose incremental-interruptible retrieval, which allows for instant presentation of the top ranking documents. We develop a new algorithm implementing this strategy and evaluate the different methods with the INEX collection.