Information Retrieval: Algorithms and HeuristicsInformation Retrieval: Algorithms and Heuristics is a comprehensive introduction to the study of information retrieval covering both effectiveness and run-time performance. The focus of the presentation is on algorithms and heuristics used to find documents relevant to the user request and to find them fast. Through multiple examples, the most commonly used algorithms and heuristics needed are tackled. To facilitate understanding and applications, introductions to and discussions of computational linguistics, natural language processing, probability theory and library and computer science are provided. While this text focuses on algorithms and not on commercial product per se, the basic strategies used by many commercial products are described. Techniques that can be used to find information on the Web, as well as in other large information collections, are included. This volume is an invaluable resource for researchers, practitioners, and students working in information retrieval and databases. For instructors, a set of Powerpoint slides, including speaker notes, are available online from the authors. |
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Inhalt
INTRODUCTION | 1 |
RETRIEVAL STRATEGIES | 11 |
RETRIEVAL UTILITIES | 83 |
EFFICIENCY ISSUES PERTAINING TO SEQUENTIAL IR SYSTEMS | 133 |
INTEGRATING STRUCTURED DATA AND TEXT | 153 |
PARALLEL INFORMATION RETRIEVAL SYSTEMS | 185 |
DISTRIBUTED INFORMATION RETRIEVAL | 201 |
THE TEXT RETRIEVAL CONFERENCE TREC | 221 |
FUTURE DIRECTIONS | 227 |
Andere Ausgaben - Alle anzeigen
Information Retrieval: Algorithms and Heuristics David A. Grossman,Ophir Frieder Eingeschränkte Leseprobe - 2012 |
Information Retrieval: Algorithms and Heuristics David A. Grossman,Ophir Frieder Keine Leseprobe verfügbar - 2012 |
Häufige Begriffe und Wortgruppen
additional algorithms appears application approach assigned assume automatically average bits Boolean chapter cluster combined compared components compression computed concept Conference Consider contains database defined described developed distributed document collection effectiveness engines entire entry estimate et al example exist files function given gold GROUP Hence identify implement improve indicates inference information retrieval systems initial inverted index length Management match matrix means measure n-grams nodes normalization Note obtained occur operators original parallel partition percent performance possible posting list precision present probabilistic probability problem Proceedings processing processors query ranking recent relation relatively relevance feedback relevant documents represent Salton scanning SELECT semantic signature silver similarity coefficient simply single stored strategy structured techniques term term frequency thesaurus TREC true typically vector vector space weight
Verweise auf dieses Buch
Information Retrieval: A Health and Biomedical Perspective William Hersh Eingeschränkte Leseprobe - 2008 |
Power Laws in the Information Production Process: Lotkaian Informetrics Leo Egghe Keine Leseprobe verfügbar - 2005 |