Search (7 results, page 1 of 1)

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Abstract

This book offers a helpful starting point in the scattered, rich, and complex body of literature on Mobile Information Retrieval (Mobile IR), reviewing more than 200 papers in nine chapters. Highlighting the most interesting and influential contributions that have appeared in recent years, it particularly focuses on both user interaction and techniques for the perception and use of context, which, taken together, shape much of today's research on Mobile IR. The book starts by addressing the differences between IR and Mobile IR, while also reviewing the foundations of Mobile IR research. It then examines the different kinds of documents, users, and information needs that can be found in Mobile IR, and which set it apart from standard IR. Next, it discusses the two important issues of user interfaces and context-awareness. In closing, it covers issues related to the evaluation of Mobile IR applications. Overall, the book offers a valuable tool, helping new and veteran researchers alike to navigate this exciting and highly dynamic area of research.

LCSH

Information storage and retrieval
User interfaces (Computer systems)

RSWK

Information Retrieval

Subject

Information Retrieval
Information storage and retrieval
User interfaces (Computer systems)

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Abstract

This book offers a comprehensive and consistent mathematical approach to information retrieval (IR) without which no implementation is possible, and sheds an entirely new light upon the structure of IR models. It contains the descriptions of all IR models in a unified formal style and language, along with examples for each, thus offering a comprehensive overview of them. The book also creates mathematical foundations and a consistent mathematical theory (including all mathematical results achieved so far) of IR as a stand-alone mathematical discipline, which thus can be read and taught independently. Also, the book contains all necessary mathematical knowledge on which IR relies, to help the reader avoid searching different sources. The book will be of interest to computer or information scientists, librarians, mathematicians, undergraduate students and researchers whose work involves information retrieval.

Date

22. 3.2008 12:26:32

LCSH

Information storage and retrieval

Subject

Information storage and retrieval

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Abstract

This book provides relevant content in the areas of information retrieval systems, services, and research; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, and collaborative filtering. Answering the increasing demand for authoritative resources on Internet technologies, this will make an indispensable addition to any library collection

Content

Inhalt Collaborating to search effectively in different searcher modes through cues and specialty search / Naresh Kumar Agarwal and Danny C.C. Poo -- Collaborative querying using a hybrid content and results-based approach / Chandrani Sinha Ray ... [et al.] -- Collaborative classification for group-oriented organization of search results / Keiichi Nakata and Amrish Singh -- A case study of use-centered descriptions : archival descriptions of what can be done with a collection / Richard Butterworth -- Metadata for social recommendations : storing, sharing, and reusing evaluations of learning resources / Riina Vuorikari, Nikos Manouselis, and Erik Duval -- Social network models for enhancing reference-based search engine rankings / Nikolaos Korfiatis ... [et al.] -- From PageRank to social rank : authority-based retrieval in social information spaces / Sebastian Marius Kirsch ... [et al.] -- Adaptive peer-to-peer social networks for distributed content-based Web search / Le-Shin Wu ... [et al.] -- The ethics of social information retrieval / Brendan Luyt and Chu Keong Lee -- The social context of knowledge / Daniel Memmi -- Social information seeking in digital libraries / George Buchanan and Annika Hinze -- Relevant intra-actions in networked environments / Theresa Dirndorfer Anderson -- Publication and citation analysis as a tool for information retrieval / Ronald Rousseau -- Personalized information retrieval in a semantic-based learning environment / Antonella Carbonaro and Rodolfo Ferrini -- Multi-agent tourism system (MATS) / Soe Yu Maw and Myo-Myo Naing -- Hybrid recommendation systems : a case study on the movies domain / Konstantinos Markellos ... [et al.].

LCSH

Information storage and retrieval systems
Information retrieval

RSWK

Information Retrieval / World Wide Web / Suchmaschine

Subject

Information storage and retrieval systems
Information retrieval
Information Retrieval / World Wide Web / Suchmaschine

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LCSH

Information storage and retrieval systems

RSWK

Information Retrieval

Subject

Information storage and retrieval systems
Information Retrieval

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Abstract

For introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. Written by a leader in the field of information retrieval, Search Engines: Information Retrieval in Practice, is designed to give undergraduate students the understanding and tools they need to evaluate, compare and modify search engines. Coverage of the underlying IR and mathematical models reinforce key concepts. The book's numerous programming exercises make extensive use of Galago, a Java-based open source search engine. SUPPLEMENTS / Extensive lecture slides (in PDF and PPT format) / Solutions to selected end of chapter problems (Instructors only) / Test collections for exercises / Galago search engine

LCSH

Information retrieval
Information Storage and Retrieval

RSWK

Suchmaschine / Information Retrieval

Subject

Suchmaschine / Information Retrieval
Information retrieval
Information Storage and Retrieval

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Abstract

The Text REtrieval Conference (TREC), a yearly workshop hosted by the US government's National Institute of Standards and Technology, provides the infrastructure necessary for large-scale evaluation of text retrieval methodologies. With the goal of accelerating research in this area, TREC created the first large test collections of full-text documents and standardized retrieval evaluation. The impact has been significant; since TREC's beginning in 1992, retrieval effectiveness has approximately doubled. TREC has built a variety of large test collections, including collections for such specialized retrieval tasks as cross-language retrieval and retrieval of speech. Moreover, TREC has accelerated the transfer of research ideas into commercial systems, as demonstrated in the number of retrieval techniques developed in TREC that are now used in Web search engines. This book provides a comprehensive review of TREC research, summarizing the variety of TREC results, documenting the best practices in experimental information retrieval, and suggesting areas for further research. The first part of the book describes TREC's history, test collections, and retrieval methodology. Next, the book provides "track" reports -- describing the evaluations of specific tasks, including routing and filtering, interactive retrieval, and retrieving noisy text. The final part of the book offers perspectives on TREC from such participants as Microsoft Research, University of Massachusetts, Cornell University, University of Waterloo, City University of New York, and IBM. The book will be of interest to researchers in information retrieval and related technologies, including natural language processing.

Content

Enthält die Beiträge: 1. The Text REtrieval Conference - Ellen M. Voorhees and Donna K. Harman 2. The TREC Test Collections - Donna K. Harman 3. Retrieval System Evaluation - Chris Buckley and Ellen M. Voorhees 4. The TREC Ad Hoc Experiments - Donna K. Harman 5. Routing and Filtering - Stephen Robertson and Jamie Callan 6. The TREC Interactive Tracks: Putting the User into Search - Susan T. Dumais and Nicholas J. Belkin 7. Beyond English - Donna K. Harman 8. Retrieving Noisy Text - Ellen M. Voorhees and John S. Garofolo 9.The Very Large Collection and Web Tracks - David Hawking and Nick Craswell 10. Question Answering in TREC - Ellen M. Voorhees 11. The University of Massachusetts and a Dozen TRECs - James Allan, W. Bruce Croft and Jamie Callan 12. How Okapi Came to TREC - Stephen Robertson 13. The SMART Project at TREC - Chris Buckley 14. Ten Years of Ad Hoc Retrieval at TREC Using PIRCS - Kui-Lam Kwok 15. MultiText Experiments for TREC - Gordon V. Cormack, Charles L. A. Clarke, Christopher R. Palmer and Thomas R. Lynam 16. A Language-Modeling Approach to TREC - Djoerd Hiemstra and Wessel Kraaij 17. BM Research Activities at TREC - Eric W. Brown, David Carmel, Martin Franz, Abraham Ittycheriah, Tapas Kanungo, Yoelle Maarek, J. Scott McCarley, Robert L. Mack, John M. Prager, John R. Smith, Aya Soffer, Jason Y. Zien and Alan D. Marwick Epilogue: Metareflections on TREC - Karen Sparck Jones

Footnote

Rez. in: JASIST 58(2007) no.6, S.910-911 (J.L. Vicedo u. J. Gomez): "The Text REtrieval Conference (TREC) is a yearly workshop hosted by the U.S. government's National Institute of Standards and Technology (NIST) that fosters and supports research in information retrieval as well as speeding the transfer of technology between research labs and industry. Since 1992, TREC has provided the infrastructure necessary for large-scale evaluations of different text retrieval methodologies. TREC impact has been very important and its success has been mainly supported by its continuous adaptation to the emerging information retrieval needs. Not in vain, TREC has built evaluation benchmarks for more than 20 different retrieval problems such as Web retrieval, speech retrieval, or question-answering. The large and intense trajectory of annual TREC conferences has resulted in an immense bulk of documents reflecting the different eval uation and research efforts developed. This situation makes it difficult sometimes to observe clearly how research in information retrieval (IR) has evolved over the course of TREC. TREC: Experiment and Evaluation in Information Retrieval succeeds in organizing and condensing all this research into a manageable volume that describes TREC history and summarizes the main lessons learned. The book is organized into three parts. The first part is devoted to the description of TREC's origin and history, the test collections, and the evaluation methodology developed. The second part describes a selection of the major evaluation exercises (tracks), and the third part contains contributions from research groups that had a large and remarkable participation in TREC. Finally, Karen Spark Jones, one of the main promoters of research in IR, closes the book with an epilogue that analyzes the impact of TREC on this research field.
... TREC: Experiment and Evaluation in Information Retrieval is a reliable and comprehensive review of the TREC program and has been adopted by NIST as the official history of TREC (see http://trec.nist.gov). We were favorably surprised by the book. Well structured and written, chapters are self-contained and the existence of references to specialized and more detailed publications is continuous, which makes it easier to expand into the different aspects analyzed in the text. This book succeeds in compiling TREC evolution from its inception in 1992 to 2003 in an adequate and manageable volume. Thanks to the impressive effort performed by the authors and their experience in the field, it can satiate the interests of a great variety of readers. While expert researchers in the IR field and IR-related industrial companies can use it as a reference manual, it seems especially useful for students and non-expert readers willing to approach this research area. Like NIST, we would recommend this reading to anyone who may be interested in textual information retrieval."

LCSH

Information storage and retrieval systems / Congresses
Text REtrieval Conference

RSWK

Information Retrieval / Textverarbeitung / Aufsatzsammlung (BVB)
Kongress / Information Retrieval / Kongress (GBV)

Subject

Information Retrieval / Textverarbeitung / Aufsatzsammlung (BVB)
Kongress / Information Retrieval / Kongress (GBV)
Information storage and retrieval systems / Congresses
Text REtrieval Conference

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Footnote

Das zweite Kapitel ("A Brief History of Wayfinding") beschreibt, wie Menschen sich in Umgebungen zurechtfinden. Dies ist insofern interessant, als hier nicht erst bei Informationssystemen oder dem WWW begonnen wird, sondern allgemeine Erkenntnisse beispielsweise über die Orientierung in natürlichen Umgebungen präsentiert werden. Viele typische Verhaltensweisen der Nutzer von Informationssystemen können so erklärt werden. So interessant dieses Thema allerdings ist, wirkt das Kapitel leider doch nur wie eine Zusammenstellung von Informationen aus zweiter Hand. Offensichtlich ist, dass Morville nicht selbst an diesen Themen geforscht hat, sondern die Ergebnisse (wenn auch auf ansprechende Weise) zusammengeschrieben hat. Dieser Eindruck bestätigt sich auch in weiteren Kapiteln: Ein flüssig geschriebener Text, der es jedoch an einigen Stellen an Substanz fehlen lässt. Kapitel drei, "Information Interaction" beginnt mit einem Rückgriff auf Calvin Mooers zentrale Aussage aus dem Jahre 1959: "An information retrieval system will tend not to be used whenever it is more painful and troublesome for a customer to have information than for him not to have it." In der Tat sollte man sich dies bei der Erstellung von Informationssystemen immer vergegenwärtigen; die Reihe der Systeme, die gerade an dieser Hürde gescheitert sind, ist lang. Das weitere Kapitel führt in einige zentrale Konzepte der Informationswissenschaft (Definition des Begriffs Information, Erläuterung des Information Retrieval, Wissensrepräsentation, Information Seeking Behaviour) ein, allerdings ohne jeden Anspruch auf Vollständigkeit. Es wirkt vielmehr so, dass der Autor sich die gerade für sein Anliegen passenden Konzepte auswählt und konkurrierende Ansätze beiseite lässt. Nur ein Beispiel: Im Abschnitt "Information Interaction" wird relativ ausführlich das Konzept des Berrypicking nach Marcia J. Bates präsentiert, allerdings wird es geradezu als exklusiv verkauft, was es natürlich bei weitem nicht ist. Natürlich kann es nicht Aufgabe dieses Buchs sein, einen vollständigen Überblick über alle Theorien des menschlichen Suchverhaltens zu geben (dies ist an anderer Stelle vorbildlich geleistet worden'), aber doch wenigstens der Hinweis auf einige zentrale Ansätze wäre angebracht gewesen. Spätestens in diesem Kapitel wird klar, dass das Buch sich definitiv nicht an Informationswissenschaftler wendet, die auf der einen Seite mit den grundlegenden Themen vertraut sein dürften, andererseits ein wenig mehr Tiefgang erwarten würden. Also stellt sich die Frage - und diese ist zentral für die Bewertung des gesamten Werks.

LCSH

Information storage and retrieval systems

RSWK

Information Retrieval (GBV)
Information Retrieval / Ubiquitous Computing (GBV)
Information Retrieval / Datenbanksystem / Suchmaschine (GBV)
Information Retrieval / Datenbanksystem (BVB)

Subject

Information Retrieval (GBV)
Information Retrieval / Ubiquitous Computing (GBV)
Information Retrieval / Datenbanksystem / Suchmaschine (GBV)
Information Retrieval / Datenbanksystem (BVB)
Information storage and retrieval systems