A Gray Code Based Ordering for Documents on Shelves: Classification for Browsing and Retrieval
نویسنده
چکیده
12] M. Gardner, \The curious properties of the Gray code and how it can be used to solve puzzles",
منابع مشابه
A Gray Code Based Ordering for Documents on Shelves: Classification for Browsing and Retrieval Journal of the American Society for Information
A document classifier places documents together in a linear arrangement for browsing or high speed access by human or computerized information retrieval systems. Requirements for document classification and browsing systems are developed from similarity measures, distance measures, and the notion of subject aboutness. A requirement that documents be arranged in decreasing order of similarity as...
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Relevance and economic feedback may be used to produce an ordering of documents that supports browsing in hypermedia and digital libraries. Document classification based on the Gray code provides paths through the entire collection, each path traversing each node in the set of documents exactly once. Systems organizing documents based on weighted and unweighted Gray codes are examined. Relevanc...
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Both structured and unstructured data, as well as structured data representing several different types of tuples, may be integrated into a single list for browsing or retrieval. Data may be arranged in the Gray code order of the features and metadata, producing optimal ordering for browsing. We provide several metrics for evaluating the performance of systems supporting browsing, given some con...
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Text Classification is an important research field in information retrieval and text mining. The main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. Since word detection is a difficult and time consuming task in Persian language, Bayesian text classifier is an appropriate approach to deal with different...
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Text Classification is an important research field in information retrieval and text mining. The main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. Since word detection is a difficult and time consuming task in Persian language, Bayesian text classifier is an appropriate approach to deal with different...
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ورودعنوان ژورنال:
- JASIS
دوره 43 شماره
صفحات -
تاریخ انتشار 1992