Search (8 results, page 1 of 1)

  • × subject_ss:"Information behavior"
  1. Cole, C.: Information need : a theory connecting information search to knowledge formation (2012) 0.01
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    Content
    Inhalt: The importance of information need -- The history of information need -- The framework for our discussion -- Modeling the user in information search -- Information seeking's conceptualization of information need during information search -- Information use -- Adaptation : internal information flows and knowledge generation -- A theory of information need -- How information need works -- The user's situation in the pre-focus search -- The situation of user's information need in pre-focus information search -- The selection concept -- A review of the user's pre-focus information search -- How information need works in a focusing search -- Circles 1 to 5 : how information need works -- Corroborating research -- Applying information need -- The astrolabe : an information system for stage 3 information exploration -- Conclusion.
  2. Ford, N.: Introduction to information behaviour (2015) 0.01
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    Date
    22. 1.2017 16:45:48
  3. Accidental information discovery : cultivating serendipity in the digital age (2016) 0.01
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    Abstract
    Accidental Information Discovery: Cultivating Serendipity in the Digital Age provides readers with an interesting discussion on the ways serendipity-defined as the accidental discovery of valued information-plays an important role in creative problem-solving. This insightful resource brings together discussions on serendipity and information discovery, research in computer and information science, and interesting thoughts on the creative process. Five thorough chapters explore the significance of serendipity in creativity and innovation, the characteristics of serendipity-friendly tools and minds, and how future discovery environments may encourage serendipity. - Examines serendipity in a multidisciplinary context - Bridges theory and practice - Explores digital information landscapes of the future with essays from current researchers - Brings the concept of accidental discovery and its value front and center
  4. Pang, B.; Lee, L.: Opinion mining and sentiment analysis (2008) 0.01
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    LCSH
    Text processing (Computer science)
    Subject
    Text processing (Computer science)
  5. New directions in human information behavior (2006) 0.00
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    Abstract
    New Directions in Human Information Behavior, co-edited by Drs. Amanda Spink and Charles Cole provides an understanding of the new directions, leading edge theories and models in human information behavior. Information behavior is conceptualized as complex human information related processes that are embedded within an individual's everyday social and life processes. The book presents chapters by an interdisciplinary range of scholars who show new directions that often challenge the established views and paradigms of information behavior studies. Beginning with an evolutionary framework, the book examines information behaviors over various epochs of human existence from the Palaeolithic Era and within pre-literate societies, to contemporary behaviors by 21st century humans. Drawing upon social and psychological science theories the book presents a more integrated and holistic approach to the understanding of information behaviors that include multitasking and non-linear longitudinal processes, individuals' information ground, information practices and information sharing, digital behaviors and human information organizing behaviors. The final chapter of the book integrates these new approaches and presents an overview of the key trends, theories and models for further research. This book is directly relevant to information scientists, librarians, social and evolutionary psychologists. Undergraduate and graduate students, academics and information professionals interested in human information behavior will find this book of particular benefit.
    RSWK
    Information science
    Series
    Information Science & Knowledge Management ; 8
    Subject
    Information science
  6. Theories of information behavior (2005) 0.00
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    Footnote
    Weitere Rez. in: JASIST 58(2007) no.2, S.303 (D.E. Agosto): "Due to the brevity of the entries, they serve more as introductions to a wide array of theories than as deep explorations of a select few. The individual entries are not as deep as those in more traditional reference volumes, such as The Encyclopedia of Library and Information Science (Drake, 2003) or The Annual Review of Information Science and Technology (ARIST) (Cronin, 2005), but the overall coverage is much broader. This volume is probably most useful to doctoral students who are looking for theoretical frameworks for nascent research projects or to more veteran researchers interested in an introductory overview of information behavior research, as those already familiar with this subfield also will probably already be familiar with most of the theories presented here. Since different authors have penned each of the various entries, the writing styles vary somewhat, but on the whole, this is a readable, pithy volume that does an excellent job of encapsulating this important area of information research."
    LCSH
    Information science
    Subject
    Information science
  7. Agarwal, N.K.: Exploring context in information behavior : seeker, situation, surroundings, and shared identities (2018) 0.00
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    Abstract
    The field of human information behavior runs the gamut of processes from the realization of a need or gap in understanding, to the search for information from one or more sources to fill that gap, to the use of that information to complete a task at hand or to satisfy a curiosity, as well as other behaviors such as avoiding information or finding information serendipitously. Designers of mechanisms, tools, and computer-based systems to facilitate this seeking and search process often lack a full knowledge of the context surrounding the search. This context may vary depending on the job or role of the person; individual characteristics such as personality, domain knowledge, age, gender, perception of self, etc.; the task at hand; the source and the channel and their degree of accessibility and usability; and the relationship that the seeker shares with the source. Yet researchers have yet to agree on what context really means. While there have been various research studies incorporating context, and biennial conferences on context in information behavior, there lacks a clear definition of what context is, what its boundaries are, and what elements and variables comprise context. In this book, we look at the many definitions of and the theoretical and empirical studies on context, and I attempt to map the conceptual space of context in information behavior. I propose theoretical frameworks to map the boundaries, elements, and variables of context. I then discuss how to incorporate these frameworks and variables in the design of research studies on context. We then arrive at a unified definition of context. This book should provide designers of search systems a better understanding of context as they seek to meet the needs and demands of information seekers. It will be an important resource for researchers in Library and Information Science, especially doctoral students looking for one resource that covers an exhaustive range of the most current literature related to context, the best selection of classics, and a synthesis of these into theoretical frameworks and a unified definition. The book should help to move forward research in the field by clarifying the elements, variables, and views that are pertinent. In particular, the list of elements to be considered, and the variables associated with each element will be extremely useful to researchers wanting to include the influences of context in their studies.
  8. Next generation search engines : advanced models for information retrieval (2012) 0.00
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    Abstract
    The main goal of this book is to transfer new research results from the fields of advanced computer sciences and information science to the design of new search engines. The readers will have a better idea of the new trends in applied research. The achievement of relevant, organized, sorted, and workable answers- to name but a few - from a search is becoming a daily need for enterprises and organizations, and, to a greater extent, for anyone. It does not consist of getting access to structural information as in standard databases; nor does it consist of searching information strictly by way of a combination of key words. It goes far beyond that. Whatever its modality, the information sought should be identified by the topics it contains, that is to say by its textual, audio, video or graphical contents. This is not a new issue. However, recent technological advances have completely changed the techniques being used. New Web technologies, the emergence of Intranet systems and the abundance of information on the Internet have created the need for efficient search and information access tools.
    Recent technological progress in computer science, Web technologies, and constantly evolving information available on the Internet has drastically changed the landscape of search and access to information. Web search has significantly evolved in recent years. In the beginning, web search engines such as Google and Yahoo! were only providing search service over text documents. Aggregated search was one of the first steps to go beyond text search, and was the beginning of a new era for information seeking and retrieval. These days, new web search engines support aggregated search over a number of vertices, and blend different types of documents (e.g., images, videos) in their search results. New search engines employ advanced techniques involving machine learning, computational linguistics and psychology, user interaction and modeling, information visualization, Web engineering, artificial intelligence, distributed systems, social networks, statistical analysis, semantic analysis, and technologies over query sessions. Documents no longer exist on their own; they are connected to other documents, they are associated with users and their position in a social network, and they can be mapped onto a variety of ontologies. Similarly, retrieval tasks have become more interactive and are solidly embedded in a user's geospatial, social, and historical context. It is conjectured that new breakthroughs in information retrieval will not come from smarter algorithms that better exploit existing information sources, but from new retrieval algorithms that can intelligently use and combine new sources of contextual metadata.

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