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CS276A Information Retrieval Lecture 8. Recap of the last lecture Vector space scoring Efficiency considerations Nearest neighbors and approximations
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Clustering 10/9/2002. Idea and Applications Clustering is the process of grouping a set of physical or abstract objects into classes of similar objects
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Clustering Note: Next class we will discuss the two Google papers. The discussion will be initiated by you Reading the papers before the class mandatory
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Query Expansion and Index Construction Lecture 5
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Clustering Talk by Zaiqing Nie 10:30@BY 210 tomorrow On “object-level search” Recommended
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1 INF 2914 Information Retrieval and Web Search Lecture 9: Query Processing These slides are adapted from Stanford’s class CS276 / LING 286 Information
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1 ZyLAB Overview. 2 Agenda Introductions. ZyLAB Positioning. ZyLAB’s unique value proposition. Live Demonstration Q&A
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Experiments An Efficient Trie-based Method for Approximate Entity Extraction with Edit-Distance Constraints Entity Extraction A Document An Efficient Filter
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TopX 2.0 at the INEX 2009 Ad-hoc and Efficiency tracks Martin Theobald Max Planck Institute Informatics Ralf Schenkel Saarland University Ablimit Aji Emory
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Hardinge Universal Turret 05412- Senior Design Project
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Efficient and Effective Link Analysis with Precomputed SALSA Maps
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Efficient and Effective Link Analysis with Precomputed SALSA Maps
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