000			06159nam a2200625 i 4500
001			6812920
003			IEEE
005			20200413152855.0
006			m eo d
007			cr cn |||m|||a
008			090809s2009 caua foab 000 0 eng d
020			_a9781598298529 (electronic bk.)
020			_z9781598298512 (pbk.)
024	7		_a10.2200/S00191ED1V01Y200904ICR006 _2doi
035			_a(CaBNVSL)gtp00535458
035			_a(OCoLC)428815767
040			_aCaBNVSL _cCaBNVSL _dCaBNVSL
050		4	_aZA4235 _b.J258 2009
082	0	4	_a006.3 _222
100	1		_aJansen, Bernard J.
245	1	0	_aUnderstanding user-Web interactions via Web analytics _h[electronic resource] / _cBernard J. (Jim) Jansen.
260			_aSan Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : _bMorgan & Claypool Publishers, _cc2009.
300			_a1 electronic text (xiii, 101 p. : ill.) : _bdigital file.
490	1		_aSynthesis lectures on information concepts, retrieval, and services, _x1947-9468 ; _v# 6
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat reader.
500			_aPart of: Synthesis digital library of engineering and computer science.
500			_aSeries from website.
504			_aIncludes bibliographical references (p. 89-100).
505	0		_aUnderstanding web analytics -- The foundations of web analytics: theory and methods -- Introduction -- Behavorism -- Behaviors -- Trace data -- Unobtrusive methods -- Web analytics as unobtrusive method -- Conclusion -- The history of web analytics -- Single websites -- Library systems -- Search engines -- Conclusion -- Data collection for web analytics -- Web server log files -- Page tagging -- Conclusion -- Web analytics fundamentals -- Visitor type -- Visit length -- Demographic and system statistics -- Internal search -- Visitor path -- Top pages -- Referrers and keyword analysis -- Errors -- Conclusion -- Web analytics strategy -- Key performance indicators -- Web analytics process -- Identify key stakeholders -- Define primary goals for your website -- Identify the most important site visitors -- Determine the key performance indicators -- Identify and implement the right solution -- Use multiple technologies and methods -- Make improvements iteratively -- Hire and empower a full-time analyst -- Establish a process of continuous improvement -- Choosing a web analytics tool -- Conclusion -- Web analytics as competitive intelligence -- Determining appropriate key performance indicators -- Commerce -- Lead generation -- Content/media -- Support/self-service -- Conclusion -- Supplementary methods for augmenting web analytics -- Surveys -- Review of appropriate survey literature -- Planning and conducting a survey -- Design a survey instrument -- Laboratory studies -- Conclusion -- Search log analytics -- Introduction -- Review of search analytics -- What is a search log -- How are these interactions collected -- Why collect this data -- What is the foundation of search log analysis -- How is search log analysis used -- How to conduct search log analysis -- Search log analysis process -- Data collection -- Fields in a standard search log -- Data preparation -- Cleaning the data -- Parsing the data -- Normalizing searching episodes -- Data analysis -- Analysis levels -- Conducting the data analysis -- Discussion -- Conclusion -- Conclusion -- Key terms -- Blogs for further reading.
506	1		_aAbstract freely available; full-text restricted to subscribers or individual document purchasers.
510	0		_aCompendex
510	0		_aINSPEC
510	0		_aGoogle scholar
510	0		_aGoogle book search
520	3		_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.
530			_aAlso available in print.
588			_aTitle from PDF t.p. (viewed on August 9, 2009).
650		0	_aWeb usage mining.
650		0	_aWebometrics.
650		0	_aInternet users _xStatistics _xData processing.
690			_aWeb analytics
690			_aSearch log analysis
690			_aTransaction log analysis
690			_aTransaction logs
690			_aLog file
690			_aQuery logs
690			_aKey performance indicators
690			_aQuery log analysis
690			_aWeb search research
690			_aWebometrics
730	0		_aSynthesis digital library of engineering and computer science.
830		0	_aSynthesis lectures on information concepts, retrieval, and services, _x1947-9468 ; _v# 6.
856	4	2	_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=6812920
999			_c561702 _d561702