Efficient Information Searching On The Web


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Efficient Information Searching on the Web


Efficient Information Searching on the Web

Author: Jonas Fransson

language: en

Publisher: Jonas Fransson

Release Date: 2010-05


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Information searching on the Web has become part of our everyday life. Efficient Information Searching on the Web deals with different aspects which are important to become a better searcher. To search for information is one of the most common occupations on the Web. We do it for work, for studies and in our spare time. We search for information about illnesses, far away countries or spare parts for the car. The Web is an important source of information, no matter if you are a journalist, a student, a university researcher or a teacher. Everybody can become more effective when it comes to searching for information. Central matters of the book are: How does a search engine work? How may the search services be used more efficiently? What is the invisible Web? How can the information be managed once it is found?

Effective Information Retrieval from the Internet


Effective Information Retrieval from the Internet

Author: Alison Stacey

language: en

Publisher: Elsevier

Release Date: 2004-07-31


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Effective Information Retrieval from the Internet discusses practical strategies which enable the advanced web user to locate information effectively and to form a precise evaluation of the accuracy of that information. Although the book provides a brief but thorough review of the technologies which are available for these purposes, most of the book concerns practical 'future-proof' techniques which are independent of changes in the tools available. For example, the book covers: how to retrieve salient information quickly; how to remove or compensate for bias; and tuition of novice Internet users. - Importantly, the book enables readers to develop strategies which will continue to be useful despite the rapidly-evolving state of the Internet and Internet technologies - it is not about technological tricks - Enables readers to be aware of and compensate for bias and errors which are ubiquitous on the Internet - Provides contemporary information on the deficiencies in web skills of novice users as well as practical techniques for teaching such users

Understanding and Improving Information Search


Understanding and Improving Information Search

Author: Wai Tat Fu

language: en

Publisher: Springer Nature

Release Date: 2020-05-29


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This edited book adopts a cognitive perspective to provide breadth and depth to state-of-the-art research related to understanding, analyzing, predicting and improving one of the most prominent and important classes of behavior of modern humans, information search. It is timely as the broader research area of cognitive computing and cognitive technology have recently attracted much attention, and there has been a surge in interest to develop systems and technology that are more compatible with human cognitive abilities. Divided into three interlocking sections, the first introduces the foundational concepts of information search from a cognitive computing perspective to highlight the research questions and approaches that are shared among the contributing authors. Relevant concepts from psychology, information and computing sciences are addressed. The second section discusses methods and tools that are used to understand and predict information search behavior and how the cognitive perspective can provide unique insights into the complexities of the behavior in various contexts. The final part highlights a number of areas of applications of which education and training, collaboration and conversational search interfaces are important ones. Understanding and Improving Information Search - A Cognitive Approach includes contributions from cognitive psychologists, information and computing scientists around the globe, including researchers from Europe (France, Netherlands, Germany), the US, and Asia (India, Japan), providing their unique but coherent perspectives to the core issues and questions most relevant to our current understanding of information search behavior and improving information search.