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Downdating The Latent Semantic Indexing Model For Information Retrieval
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Book Synopsis Downdating the Latent Semantic Indexing Model for Information Retrieval by : Dian Irene Witter
Download or read book Downdating the Latent Semantic Indexing Model for Information Retrieval written by Dian Irene Witter and published by . This book was released on 1997 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook of Latent Semantic Analysis by : Thomas K. Landauer
Download or read book Handbook of Latent Semantic Analysis written by Thomas K. Landauer and published by Psychology Press. This book was released on 2007-02-15 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Latent Semantic Analysis is the authoritative reference for the theory behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze how words make meaning, with the desired outcome to program machines to understand human commands via natural language rather than strict programming protocols. The first book
Book Synopsis Computational Information Retrieval by : Michael W. Berry
Download or read book Computational Information Retrieval written by Michael W. Berry and published by SIAM. This book was released on 2001-01-01 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains selected papers that focus on the use of linear algebra, computational statistics, and computer science in the development of algorithms and software systems for text retrieval. Experts in information modeling and retrieval share their perspectives on the design of scalable but precise text retrieval systems, revealing many of the challenges and obstacles that mathematical and statistical models must overcome to be viable for automated text processing. This very useful proceedings is an excellent companion for courses in information retrieval, applied linear algebra, and applied statistics.
Book Synopsis Applying Local Latent Semantic Indexing for Information Retrieval Visualization by : Michael Hugh Miller
Download or read book Applying Local Latent Semantic Indexing for Information Retrieval Visualization written by Michael Hugh Miller and published by . This book was released on 1997 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Cross-language Information Retrieval Using Latent Semantic Indexing by : Paul Geoffrey Young
Download or read book Cross-language Information Retrieval Using Latent Semantic Indexing written by Paul Geoffrey Young and published by . This book was released on 1994 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis ARIST 38: Annual Review of Information Science and Technology by : Blaise Cronin
Download or read book ARIST 38: Annual Review of Information Science and Technology written by Blaise Cronin and published by Information Today, Inc.. This book was released on 2003-10 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contents for Volume 38:Science and Technology Studies and Information Studies, by Nancy A. Van HouseNew Theoretic Approaches for Human-Computer Interaction, by Yvonne RogersCommunity and Electronic Community, by David Ellis, Rachel Oldridge, and Ana VasconcelosLatent Semantic Analysis, by Susan T. DumaisThe Use of Web Search Engines in Information Science Research, by Judit Bar-IlanWeb Mining: Machine Learning for Web Applications, by Hsinchun Chen and Michael ChauData Mining in Health and Medical Information, by Peter A. BathIndexing, Browsing, and Searching of Digital Video, by Alan F. SmeatonICT's and Political Life, by Alice Robbin, Christina Courtright, and Leah DavisLegal Aspects of the Web, by Alexandre Lopez Borrull and Charles OppenheimPreservation of Digital Objectives, by Patricia GallowayThe Internet and Unrefereed Scholarly Publishing, by Rob Kling
Book Synopsis Toward Large-scale Information Retrieval Using Latent Semantic Indexing by : Todd A. Letsche
Download or read book Toward Large-scale Information Retrieval Using Latent Semantic Indexing written by Todd A. Letsche and published by . This book was released on 1996 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook of Linear Algebra by : Leslie Hogben
Download or read book Handbook of Linear Algebra written by Leslie Hogben and published by CRC Press. This book was released on 2013-11-26 with total page 1906 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a substantial amount of new material, the Handbook of Linear Algebra, Second Edition provides comprehensive coverage of linear algebra concepts, applications, and computational software packages in an easy-to-use format. It guides you from the very elementary aspects of the subject to the frontiers of current research. Along with revisions and
Book Synopsis A Semi-discrete Matrix Decomposition for Latent Semantic Indexing in Information Retrieval by : Tamara Gibson Kolda
Download or read book A Semi-discrete Matrix Decomposition for Latent Semantic Indexing in Information Retrieval written by Tamara Gibson Kolda and published by . This book was released on 1996 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt: The vast amount of textual information available today is useless unless it can be effectively and efficiently searched. In information retrieval, we wish to match queries with relevant documents. Documents can be represented by the terms that appear within them, but literal matching of terms does not necessarily retrieve all relevant documents. Latent Semantic Indexing represents documents by approximations and tends to cluster documents on similar topics even if their term profiles are somewhat different. This approximate representation is usually accomplished using a low-rank singular value decomposition (SVD) approximation. In this paper, we use an alternate decomposition, the semi-discrete decomposition (SDD). In our tests, for equal query times, the SDD does as well as the SVD and uses less than one-tenth the storage. Additionally, we show how to update the SDD for a dynamically changing document collection.
Book Synopsis Parallel Computing by : Roman Trobec
Download or read book Parallel Computing written by Roman Trobec and published by Springer Science & Business Media. This book was released on 2009-06-18 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of parallel programming and architectures is essential for simulating and solving problems in modern computational practice. There has been rapid progress in microprocessor architecture, interconnection technology and software devel- ment, which are in?uencing directly the rapid growth of parallel and distributed computing. However, in order to make these bene?ts usable in practice, this dev- opment must be accompanied by progress in the design, analysis and application aspects of parallel algorithms. In particular, new approaches from parallel num- ics are important for solving complex computational problems on parallel and/or distributed systems. The contributions to this book are focused on topics most concerned in the trends of today’s parallel computing. These range from parallel algorithmics, progr- ming, tools, network computing to future parallel computing. Particular attention is paid to parallel numerics: linear algebra, differential equations, numerical integ- tion, number theory and their applications in computer simulations, which together form the kernel of the monograph. We expect that the book will be of interest to scientists working on parallel computing, doctoral students, teachers, engineers and mathematicians dealing with numerical applications and computer simulations of natural phenomena.
Book Synopsis Grouping Multidimensional Data by : Jacob Kogan
Download or read book Grouping Multidimensional Data written by Jacob Kogan and published by Taylor & Francis. This book was released on 2006-02-10 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher description
Book Synopsis Latent Semantic Indexing and Information Retrieval-A Quest with BosSE. by :
Download or read book Latent Semantic Indexing and Information Retrieval-A Quest with BosSE. written by and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This master thesis deals with the implementation of a search engine using Latent Semantic Indexing (LSI) called BoSSE. Four different search types were implemented which allow a search for documents or terms similar to a given term, query or document. These search types are evaluated and the importance of term weighting, exclusion of non content words and the right selection of k for the reduction of dimension are discussed. Furthermore, an introduction to Latent Semantic Indexing (LSI) and an explanation of the Singular Value Decomposition (SVD) is given.
Book Synopsis On Updating Problems in Latent Semantic Indexing by :
Download or read book On Updating Problems in Latent Semantic Indexing written by and published by . This book was released on 1997 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors develop new SVD-updating algorithms for three types of updating problems arising from Latent Semantic Indexing (LSI) for information retrieval to deal with rapidly changing text document collections. They also provide theoretical justification for using a reduced-dimension representation of the original document collection in the updating process. Numerical experiments using several standard text document collections show that the new algorithms give higher (interpolated) average precisions than the existing algorithms and the retrieval accuracy is comparable to that obtained using the complete document collection.
Book Synopsis Advances in Information Retrieval Theory by : Giambattista Amati
Download or read book Advances in Information Retrieval Theory written by Giambattista Amati and published by Springer Science & Business Media. This book was released on 2011-09-01 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on the Theory of Information Retrieval, ICTIR 2011, held in Bertinoro, Italy, in September 2011. The 25 revised full papers and 13 short papers presented together with the abstracts of two invited talks were carefully reviewed and selected from 65 submissions. The papers cover topics ranging from query expansion, co-occurence analysis, user and interactive modelling, system performance prediction and comparison, and probabilistic approaches for ranking and modelling IR to topics related to interdisciplinary approaches or applications. They are organized into the following topical sections: predicting query performance; latent semantic analysis and word co-occurrence analysis; query expansion and re-ranking; comparison of information retrieval systems and approximate search; probability ranking principle and alternatives; interdisciplinary approaches; user and relevance; result diversification and query disambiguation; and logical operators and descriptive approaches.
Book Synopsis Study of Document Retrieval Using Latent Semantic Indexing (LSI) on a Very Large Data Set by : A. N. K. Zaman
Download or read book Study of Document Retrieval Using Latent Semantic Indexing (LSI) on a Very Large Data Set written by A. N. K. Zaman and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary purpose of an information retrieval system is to retrieve all the relevant documents, which are relevant to the user query. The Latent Semantic Indexing (LSI) based ad hoc document retrieval task investigates the performance of retrieval systems that search a static set of documents using new questions/queries. Performance of LSI has been tested for several smaller datasets (e.g., MED, CISI abstracts etc) however, LSI has not been tested for a large dataset. In this research, we concentrated on the performance of LSI on large dataset. Stop word list and term weighting schemes are two key parameters in the area of information retrieval. We investigated the performance of LSI by using three different set of stop word lists and, also, without removing the stop words from the test collection. We also applied three different term-weighting (raw term frequency, log-entropy, and tf-idf) schemes to measure retrieval performance of LSI. We observed that, firstly, for a LSI based ad hoc information retrieval system, a tailored stop word list must be assembled for every unique large dataset. Secondly, the use of tf-idf term weighting scheme shows better retrieval performance than log-entropy and raw term frequency weighting schemes even when the test collection became large. --P. ii.
Book Synopsis On Updating Problems in Latent Semantic Indexing by : Horst D. Simon
Download or read book On Updating Problems in Latent Semantic Indexing written by Horst D. Simon and published by . This book was released on 1997 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "We develop new SVD-updating algorithms for three types of updating problems arising from Latent Semantic Indexing (LSI) for information retrieval to deal with rapidly changing text document collections. We also provide theoretical justification for using a reduced-dimension representation of the original document collection in the updating process. Numerical experiments using several standard text document collections show that the new algorithms give higher (interpolated) average precisions than the existing algorithms."
Book Synopsis Data Management for Multimedia Retrieval by : K. Selçuk Candan
Download or read book Data Management for Multimedia Retrieval written by K. Selçuk Candan and published by Cambridge University Press. This book was released on 2010-05-31 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multimedia data require specialised management techniques because the representations of colour, time, semantic concepts, and other underlying information can be drastically different from one another. This textbook on multimedia data management techniques gives a unified perspective on retrieval efficiency and effectiveness. It provides a comprehensive treatment, from basic to advanced concepts, that will be useful to readers of different levels, from advanced undergraduate and graduate students to researchers and to professionals. After introducing models for multimedia data (images, video, audio, text, and web) and for their features, such as colour, texture, shape, and time, the book presents data structures and algorithms that help store, index, cluster, classify, and access common data representations. The authors also introduce techniques, such as relevance feedback and collaborative filtering, for bridging the 'semantic gap' and present the applications of these to emerging topics, including web and social networking.