Collaborative and social information retrieval and access techniques for improved user modeling

Cover of: Collaborative and social information retrieval and access |

Published by Information Science Reference in Hershey PA .

Written in English

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Subjects:

  • User interfaces (Computer systems),
  • Recommender systems (Information filtering),
  • Information storage and retrieval systems -- Social aspects,
  • Cognitive science

Edition Notes

Includes bibliographical references and index.

Book details

StatementMax Chevalier, Christine Julien, and Chantal Soule-Dupuy, editors.
ContributionsChevalier, Max, 1975-, Julien, Christine., Soule-Dupuy, Chantal.
Classifications
LC ClassificationsQA76.9.U83 C62 2009
The Physical Object
Paginationp. cm.
ID Numbers
Open LibraryOL22542341M
ISBN 109781605663067, 9781605663074
LC Control Number2008040202

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Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling presents current state-of-the-art developments including case studies, challenges, and trends. Covering topics such as recommender systems, user profiles, and collaborative filtering, this book informs and educates academicians, researchers, and field practitioners on the latest advancements in information by:   Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling presents current state-of-the-art developments including case studies, challenges, and trends.

Covering topics such as recommender systems, user profiles, and collaborative filtering, this book informs and educates academicians, researchers, and field practitioners on the latest advancements in information retrieval. Professionals are continually presented with numerous information sources creating the need to determine their relevance within the huge amount of available information.

Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling presents current Price: $ "Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling presents current state-of-the-art developments including case studies, challenges, and trends.

Covering topics such as recommender systems, user profiles, and collaborative filtering, this book informs and educates academicians, researchers, and. Get this from a library.

Collaborative and social information retrieval and access: techniques for improved user modeling. [Max Chevalier; Christine Julien; Chantal Soulé-Dupuy;] -- "This book deals with the improvement of user modeling in the context of Collaborative and Social Information Access and Retrieval (CSIRA) techniques"--Provided by publisher.

BibTeX @MISC{Chevalier09collaborativeand, author = {Max Chevalier and Christine Julien and Chantal Soulé-dupuy and Cover Design and Lisa Tosheff and A Cataloguing In Pub}, title = Collaborative and social information retrieval and access book and Social Information Retrieval and Access: Techniques for Improved User Modeling.

Information science reference}, year = {}}. Combining Relevance Information in a Synchronous Collaborative Information Retrieval Environment. the representation, storage, organisation of and access to information items.

The purpose of an IR system is to satisfy an information need. This volume summarizes the author’s work on social information seeking (SIS), and at the same time serves as an introduction to the topic.

Sometimes also referred to as social search or social information retrieval, this is a relatively new area of study concerned with the seeking and acquiring of information from social spaces on the : Hardcover.

In this study, collaboration is specifically related to information retrieval (IR), and thus, we work from the following broad and preliminary definition of Collaborative Information Retrieval (CIR): CIR is an information access activity related to a specific problem solving activity that, implicitly or explicitly, involves human beings interacting with other human(s) directly and/or through texts (e.g., documents, Cited by:   Examples include sharing of queries, social bookmarking and tagging, social network analysis, subjective relevance judgments, and collaborative filtering.

The area provides a promising avenue for the design and implementation of a new generation of information retrieval systems. This volume summarizes the author’s work on social information seeking (SIS), and at the same time serves as an introduction to the topic.

Sometimes also referred to as social search or social information retrieval, this is a relatively new area of study concerned with the seeking and acquiring of information from social spaces on the cturer: Springer. The 16 chapters included in this book provide a broad overview of modern research on social information access.

In order to provide a balanced coverage, these chapters are organized by the main types of information access (i.e., social search, social navigation, and recommendation) and main sources of social information. "This book deals with the improvement of user modeling in the context of Collaborative and Social Information Access and Retrieval (CSIRA) techniques"--Provided by.

“The theory and systems of collaborative information seeking as well as the evaluation thereof, is the focus of Shah’s new book, Collaborative Information Seeking. Collaborative Information Seeking is essential reading for collaborative information seeking scholars.

In this chapter, we propose to study how a collaborative and social technology such as Multi-Agent System (MAS) can be used for adapting services and information supplied to mobile users belonging to a social community of people. Adaptation is performed according to the user’s profile (essentially here her/his preferences in terms of activity, content, and presentation) and according to the contexts (environmental but also collaborative Cited by: 6.

SIR aims to provide relevant content and information to users in the domains of information retrieval, research, and recommendation; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, Q&A systems, and collaborative by: “The theory and systems of collaborative information seeking as well as the evaluation thereof, is the focus of Shah’s new book, Collaborative Information Seeking.

Collaborative Information Seeking is essential reading for collaborative information seeking scholars. It reads easily, is well organised and provides both a framework for 5/5(1).

User modeling for Collaborative and Social Information Retrieval and Access refers to a family of techniques concerning the model of user's information needs, relationships, behavior or context and their exploitation in order to improve the relevance of information offered to users.

Collaborative and Social Information Retrieval and Access. Compiled by world- class leaders in the field of collaborative information retrieval and search (CIS), this book centres on the notion that information seeking is not always a solitary activity and working in collaboration to perform information-seeking tasks should be studied and supported.

IGI Global is now offering a new collection of InfoSci-Knowledge Solutions databases, which allow institutions to affordably acquire a diverse, rich collection of peer-reviewed e-books and scholarly e-journals.

Ideal for subject librarians, these databases span major subject areas including business, computer science, education, and social by: 1. Collaborative Search: Who, What, Where, When, Why, and How (Synthesis Lectures on Information Concepts, Retrieval, and S) Paperback – Janu by Meredith Ringel Morris (Author), Jaime Teevan (Author)Cited by: Users & Information Retrieval.

February ; Collaborative and Social Information Retrieval and Access: Techniques for improved User Modeling Collaborative filtering has been known to be Author: Max Chevalier. Recommender System Approaches.

As previously introduced, recommender systems are usually classified into three categories: collaborative, content-based and hybrid filtering, based on how recommendations are made. We review in this section the main algorithmic by: Modeling Users for Adaptive Information Retrieval by Capturing User Intent: /ch In this chapter, we study and present our results on the problem of employing a cognitive user model for Information Retrieval (IR) in which a user’s intentCited by: Synchronous Collaborative Information Retrieval refers to systems that support multiple users searching together at the same time in order to satisfy a shared information need.

To date most SCIR systems have focussed on providing various awareness tools in order to enable collaborating users to coordinate the search by: Location and Time Aware Social Collaborative Retrieval for New Successive Point-of-Interest Recommendation Wei Zhangy Jianyong Wangy\ yDepartment of Computer Science and Technology, Tsinghua University, BeijingChina \Jiangsu Collaborative Innovation Center for Language Ability, Jiangsu Normal University, XuzhouChina [email protected]

Social information retrieval systems: emerging technologies and applications for searching the Web effectively / Dion Goh & Schubert Foo, editors. Summary: "This book provides relevant content in the areas of information retrieval systems, services, and research; covering topics such.

Geographic information retrieval from social networks can help to define the vague regions such as “Lower East side” according to Schockaert and De Cock (). Other works have used social media to associate tags (e.g., Foursquare) to regions using coordinates linked to individual items (Hollenstein & Cited by: 6.

SIR aims at providing relevant content and information to users in the areas of information retrieval, and research; covering topics such as social tagging, collaborative querying, social network. Collaborative Information Retrieval (CIR) is a well-known setting in which explicit collaboration occurs among a group of users working together to solve a shared information need.

This type of collaboration has been deemed as beneficial for complex or exploratory search : SoulierLaure, TamineLynda. Get this from a library.

Social information retrieval systems: emerging technologies and applications for searching the Web effectively.

[Dion Goh; Schubert Foo; IGI Global.] -- "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.

Information retrieval (IR) is the activity of obtaining information system resources that are relevant to an information need from a collection of those resources. Searches can be based on full-text or other content-based indexing.

Information retrieval is the science of searching for information in a document, searching for documents themselves, and also searching for the metadata that. Information retrieval (IR) tools are engaged to find information in electronic form, in databases, digital libraries, and networks.

However, the advent of the web technology has boosted the amount Author: Dick Stenmark. Social Information Access Systems and Technologies; [PDF] Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling; [PDF] Understanding Information Retrieval Systems: Management, Types, and Standards; Locally Decodable Codes and Private Information Retrieval Schemes.

Get this from a library. Social information retrieval systems: emerging technologies and applications for searching the Web effectively. [Dion Goh; Schubert Foo;] -- "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.

Keywords: collaboration, social navigation, collaborative filtering, recommender systems, computer supported cooperative work ABSTRACT Collaborative information retrieval (CIR) encompasses the many varied social approaches to information seeking.

Although some information retrieval systems have given an impression of individual access to. Collaborative information seeking is a field of research that involves studying situations, motivations, and methods for people working in collaborative groups for information seeking projects, as well as building systems for supporting such activities.

Such projects often involve information searching or information retrieval, information gathering, and information sharing. Beyond that, CIS can extend to collaborative information synthesis and collaborative sense-making.

A collaborative learning approach for geographic information retrieval based on social networks Article in Computers in Human Behavior 51 October with Reads How we measure 'reads'.

This open access book summarizes the first two decades of the NII Testbeds and Community for Information access Research (NTCIR). NTCIR is a series of evaluation forums run by a Available Formats: Hardcover eBook.

Social media has changed the digital landscape of book retrieval and recommendation on the Web. The availability of the social collaborative cataloging and search applications including Amazon.

Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively Table of Contents Preface Acknowledgments Section I: Collaborative Querying Chapter 1 Collaborating to search effectively in different searcher modes through cues and specialty search Naresh Kumar Agarwal, National University of Singapore, Singapore Danny C.C.

Poo, National University.People travel in the real world and leave their location history in a form of trajectories.

These trajectories do not only connect locations in the physical world but also bridge the gap between people and locations. This paper introduces a social networking service, called GeoLife, which aims to understand trajectories, locations and users, and mine [ ]Cited by: Collaborative information retrieval (CIR) encompasses the many varied social approaches to information seeking.

Although some information retrieval systems have given an impression of individual access to resources, there is a growing realization that much information work is fundamentally collaborative in nature.

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