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008 220601s2009 sz | s |||| 0|eng d
020 _a9783031022647
024 7 _a10.1007/978-3-031-02264-7
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aZA4235
_b2009 EB
100 1 _aJansen, Bernard J.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9687497
245 1 0 _aUnderstanding User-Web Interactions via Web Analytics
_cby Bernard J. Jansen
250 _a1st edition 2009
264 1 _aCham
_bSpringer International Publishing
_c2009
300 _a1 recurso en línea (XIII, 101 páginas)
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aSynthesis Lectures on Information Concepts Retrieval and Services
_x1947-9468
505 0 _aUnderstanding Web Analytics -- The Foundations of Web Analytics: Theory and Methods -- The History of Web Analytics -- Data Collection for Web Analytics -- Web Analytics Fundamentals -- Web Analytics Strategy -- Web Analytics as Competitive Intelligence -- Supplementary Methods for Augmenting Web Analytics -- Search Log Analytics -- Conclusion -- Key Terms -- Blogs for Further Reading -- References.
520 _aThis lecture presents an overview of the Web analytics process, with a focus on providing insight and actionable outcomes from collecting and analyzing Internet data. The lecture first provides an overview of Web analytics, providing in essence, a condensed version of the entire lecture. The lecture then outlines the theoretical and methodological foundations of Web analytics in order to make obvious the strengths and shortcomings of Web analytics as an approach. These foundational elements include the psychological basis in behaviorism and methodological underpinning of trace data as an empirical method. These foundational elements are illuminated further through a brief history of Web analytics from the original transaction log studies in the 1960s through the information science investigations of library systems to the focus on Websites, systems, and applications. Following a discussion of on-going interaction data within the clickstream created using log files and page tagging for analytics of Website and search logs, the lecture then presents a Web analytic process to convert these basic data to meaningful key performance indicators in order to measure likely converts that are tailored to the organizational goals or potential opportunities. Supplementary data collection techniques are addressed, including surveys and laboratory studies. The overall goal of this lecture is to provide implementable information and a methodology for understanding Web analytics in order to improve Web systems, increase customer satisfaction, and target revenue through effective analysis of user-Website interactions. Table of Contents: Understanding Web Analytics / The Foundations of Web Analytics: Theory and Methods / The History of Web Analytics / Data Collection for Web Analytics / Web Analytics Fundamentals / Web Analytics Strategy / Web Analytics as Competitive Intelligence / Supplementary Methods for Augmenting Web Analytics / Search Log Analytics / Conclusion / Key Terms / Blogs for Further Reading / References.
988 _aSynthesis Collection of Technology_2009
650 7 _2embne
_9405542
_aWorld Wide Web (Sistema de recuperación de la información)
650 7 _2embne
_9162648
_aData mining
776 0 8 _iPrinted edition:
_z9783031011368
776 0 8 _iPrinted edition:
_z9783031033926
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02264-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b04/2023
_dz
_esc
_zSI