Searching for "Context-sensitive ranking." – sorted by Relevance.
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Topic-sensitive pagerank: A context-sensitive ranking algorithm for web search
- PageRank: A Context-Sensitive Ranking Algorithm for Web Search Taher H. Haveliwala Abstract
- Cited by 45 (0 self) – Add To MetaCart
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Context-Sensitive Keyword Search and Ranking for XML
- Context-Sensitive Keyword Search and Ranking for XML Chavdar Botev Cornell University cbotev
- Cited by 9 (3 self) – Add To MetaCart
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XSnippet: mining for sample code
- context-sensitive ranking heuristic is provided that has been experimentally proven to provide better
- Cited by 7 (0 self) – Add To MetaCart
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Multimodal Natural Language Interfaces For Hypermedia Distance Education - The Viena Classroom System
- browse through context-sensitive ranked lists of FAQ. Other important features include
- Cited by 4 (4 self) – Add To MetaCart
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Applying Language Engineering Techniques to the Question Support Facilities in VIENA Classroom
- of questions the students can browse through context-sensitive ranked lists of FAQ. Other important features
- Cited by 2 (2 self) – Add To MetaCart
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Collaborative Hypermedia Education with the VIENA Classroom System
- is the automatic generation of context-sensitive ranked FAQ lists which can be browsed through by the students
- Cited by 1 (1 self) – Add To MetaCart
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Virtual Distance Education in a Collaborative Hypermedia Environment - the VIENA Classroom
- generation of context-sensitive ranked FAQ lists which can be consulted by the students before formulating a
- Cited by 1 (1 self) – Add To MetaCart
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BY
- works study the user modeling or context-sensitive ranking separately, they do not design and develop
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The r Operator: Discovering and Ranking Associations on the Semantic Web
- and a context sensitive ranking of results. The rest of the paper is organized as follows: First, we
- Cited by 3 (1 self) – Add To MetaCart
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The ρ-operator: Discovering and ranking associations on the semantic web
- and a context sensitive ranking of results. The rest of the paper is organized as follows: First, we
- Cited by 1 (0 self) – Add To MetaCart

