Search (3 results, page 1 of 1)

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Abstract

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.
With the rapid growth of web-based applications, such as search engines, Facebook, and Twitter, the development of effective and personalized information retrieval techniques and of user interfaces is essential. The amount of shared information and of social networks has also considerably grown, requiring metadata for new sources of information, like Wikipedia and ODP. These metadata have to provide classification information for a wide range of topics, as well as for social networking sites like Twitter, and Facebook, each of which provides additional preferences, tagging information and social contexts. Due to the explosion of social networks and other metadata sources, it is an opportune time to identify ways to exploit such metadata in IR tasks such as user modeling, query understanding, and personalization, to name a few. Although the use of traditional metadata such as html text, web page titles, and anchor text is fairly well-understood, the use of category information, user behavior data, and geographical information is just beginning to be studied. This book is intended for scientists and decision-makers who wish to gain working knowledge about search engines in order to evaluate available solutions and to dialogue with software and data providers.

Content

Vert, S.: Extensions of Web browsers useful to knowledge workers. Chen, L.-C.: Next generation search engine for the result clustering technology. Biskri, I., L. Rompré: Using association rules for query reformulation. Habernal, I., M. Konopík u. O. Rohlík: Question answering. Grau, B.: Finding answers to questions, in text collections or Web, in open domain or specialty domains. Berri, J., R. Benlamri: Context-aware mobile search engine. Bouidghaghen, O., L. Tamine: Spatio-temporal based personalization for mobile search. Chaudiron, S., M. Ihadjadene: Studying Web search engines from a user perspective: key concepts and main approaches. Karaman, F.: Artificial intelligence enabled search engines (AIESE) and the implications. Lewandowski, D.: A framework for evaluating the retrieval effectiveness of search engines.

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Date

22. 1.2017 16:45:48

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Content

Inhalt: An Introduction to Metatheories, Theories, and Models (Marcia J. Bates) - What Methodology Does to Theory: Sense-Making Methodology as Exemplar (Brenda Dervin) Evolution in Information Behavior Modeling Wilson's Model (T.D. Wilson) - Affective Load (Diane Nahl) - Anomalous State of Knowledge (Nicholas J. Belkin) - Archival Intelligence (Elizabeth Yakel) - Bandura's Social Cognition (Makiko Miwa) - Berrypicking (Marcia J. Bates) - Big6 Skills for Information Literacy (Carrie A. Lowe and Michael B. Eisenberg) - Chang's Browsing (Chan-Ju L. Chang) - Chatman's Information Poverty (Julie Hersberger) - Chatman's Life in the Round (Crystal Fulton) - Cognitive Authority (Soo Young Rieh) - Cognitive Work Analysis (Raya Fidel and Annelise Mark Pejtersen) - Collective Action Dilemma (Marc Smith and Howard T. Weiser) - Communicative Action (Gerald Benoît) - Communities of Practice (Elisabeth Davies) - Cultural Models of Hall and Hofstede (Anita Komlodi) - Dervin's Sense-Making (Tonyia J. Tidline) - Diffusion Theory (Darian Lajoie-Paquette) - The Domain Analytic Approach to Scholars' Information Practices (Sanna Talja) - Ecological Theory of Human Information Behavior (Kirsty Williamson) - Elicitation as Micro-Level Information Seeking (Mei-Mei Wu) - Ellis's Model of InformationSeeking Behavior (David Ellis) - Everyday Life Information Seeking (Reijo Savolainen) - Face Threat (Lorri Mon) - Flow Theory (Charles Naumer) - General Model of the Information Seeking of Professionals (Gloria J. Leckie) - The Imposed Query (Melissa Gross) - Information Acquiringand-Sharing (Kevin Rioux) - Information Activities in Work Tasks (Katriina Byström) - Information Encountering (Sanda Erdelez) - Information Grounds (Karen E. Fisher) - Information Horizons (Diane H. Sonnenwald) - Information Intents (Ross J. Todd) - Information Interchange (Rita Marcella and Graeme Baxter) - Institutional Ethnography (Roz Stooke) - Integrative Framework for Information Seeking and Interactive Information Retrieval (Peter Ingwersen) - Interpretative Repertoires (Pamela J. McKenzie) - Krikelas's Model of Information Seeking (Jean Henefer and Crystal Fulton) - Kuhlthau's Information Search Process (Carol Collier Kuhlthau) - Library Anxiety (Patricia Katopol) - Monitoring and Blunting (Lynda M. Baker) - Motivational Factors for Interface Design (Carolyn Watters and Jack Duffy) - Network Gatekeeping (Karine Barzilai-Nahon) - Nonlinear Information Seeking (Allen Foster) - Optimal Foraging (JoAnn Jacoby) - Organizational Sense Making and Information Use (Anu Maclntosh-Murray) - The PAIN Hypothesis (Harry Bruce) -