Web Search Public Searching Of The Web

This book brings together results from the Web search studies we conducted from 1997 through 2004. The aim of our studies has been twofold: to examine how the public at large searches the Web and to highlight trends in public Web searching. The eight-year period from 1997 to 2004 saw the beginnings and maturity of public Web searching. Commercial Web search engines have come and gone, or endured, through the fall of the dot.com companies. We saw the rise and, in some cases, the demise of several high profile, publicly available Web search engines. The study of the Web search is an exciting and important area of interdisciplinary research. Our book provides a valuable insight into the growth and development of human interaction with Web search engines. In this book, our focus is on the human aspect of the interaction between user and Web search engine. We do not investigate the Web search engines themselves or their constantly changing interfaces, algorithms and features. We focus on exploring the cognitive and user aspects of public Web searching in the aggregate. We use a variety of quantitative and qualitative methods within the overall methodology known as transaction log analysis.

Written for lay people searching for information on the Web, this resource describes all Google Web Search features and tools in detail. All critical steps are illustrated with detailed screenshots.

Web search engines are not just indispensable tools for finding and accessing information online, but have become a defining component of the human condition and can be conceptualized as a complex behavior embedded within an individual's everyday social, cultural, political, and information-seeking activities. This book investigates Web search from the non-technical perspective, bringing together chapters that represent a range of multidisciplinary theories, models, and ideas.

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?

Provides an understanding of Web search engines from the unique perspective of Library and Information Science. This book explores a range of topics including retrieval effectiveness, user satisfaction, the evaluation of search interfaces, the impact of search on society, and the influence of search engine optimization (SEO) on results quality.

The Internet has generated a large amount of information that is created and shared between individuals and organizations. Because of the amount of information flying through cyberspace, the time to locate and digest the information increases exponentially, but the question of what information can be shared and how to share it remains unsolved. Advances in Electronic Business, Volume 2 explores the semantic web and intelligent web services, two methods created to help solidify the meaning and relationship of data, and explains how they relate to business processes. Professionals, policy-makers, academics, researchers, and managers in IT, business, and commerce will find this book useful in understanding the semantic web and intelligent web services impact on e-commerce.

This book constitutes the proceedings of the Third International Conference on Social Informatics, SocInfo 2011, held in Singapore in October 2011. The 15 full papers, 8 short papers and 13 posters included in this volume were carefully reviewed and selected from 68 full paper and 13 poster submissions. The papers are organized in topical sections named: network analysis; eGovernance and knowledge management; applications of network analysis; community dynamics; case studies; trust, privacy and security; peer-production.

Recent technological progress in computer science, Web technologies, and the constantly evolving information available on the Internet has drastically changed the landscape of search and access to information. Current search engines employ advanced techniques involving machine learning, social networks, and semantic analysis. Next Generation Search Engines: Advanced Models for Information Retrieval is intended for scientists and decision-makers who wish to gain working knowledge about search in order to evaluate available solutions and to dialogue with software and data providers. The book aims to provide readers with a better idea of the new trends in applied research.