Web Search Engine ResearchDirk Lewandowski Emerald Group Publishing, 2012 M04 19 - 322 páginas "Web Search Engine Research", edited by Dirk Lewandowski, provides an understanding of Web search engines from the unique perspective of Library and Information Science. The book explores a range of topics including retrieval effectiveness, user satisfaction, the evaluation of search interfaces, the impact of search on society, reliability of search results, query log analysis, user guidance in the search process, and the influence of search engine optimization (SEO) on results quality. While research in computer science has mainly focused on technical aspects of search engines, LIS research is centred on users' behaviour when using search engines and how this interaction can be evaluated. LIS research provides a unique perspective in intermediating between the technical aspects, user aspects and their impact on their role in knowledge acquisition. This book is directly relevant to researchers and practitioners in library and information science, computer science, including Web researchers. |
Contenido
BEYOND TRADITIONAL SEARCH ENGINE EVALUATION | 103 |
NEW PERSPECTIVES ON WEB SEARCHING | 225 |
About the Authors | 309 |
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ACM Press ACM SIGIR conference algorithms analysis approach blogs browsing cards chapter classification collaborative collaborative filtering Computer conference on research data mining databases defined development in information discount function diversity example experience Facebook Figure geographic information retrieval geospatial Google Group histogram information need information retrieval Information Science interaction interface international ACM SIGIR international conference Internet keywords Lewandowski measure methods metrics NetBeans networks parameters participants pebbles performance presented probes Proceedings rank change rank correlation ranked list reformulation relevant documents result set retrieval systems search engine evaluation search engine research search engine results search queries search results search statistics searchers selection SERPs SIGIR social media social search engines social software social tagging sources subtopic test collection topic truth claims University of Regensburg user model user’s web search queries World Wide World Wide Web Yahoo York