Uzilla HCI Collection: and ( WebHCI) and ( Usage)

Browsing for and ( WebHCI) and ( Usage)

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Showing matching items (1 - 20).

Lucidity Toolkit: Home			Inline:Small, Med, Large:: CLOSE
1	WebHCI	Usage
`Software:lucidity.sourceforge.net`
SummaryTwo javascript includes (compatible with standard HTML) create a IE specific system which logs usage information to the exiting url for later extraction from standard web log files. One which logs page data directly to a database (Cold Fusion) and one that logs to the exiting url. Both versions have a hard time with exits to another site.

Research on Web Mining			Inline:Small, Med, Large:: CLOSE
2	WebHCI	Usage
`Collection:www.cs.ualberta.ca/~tszhu/webproject.htm`
Research on Web Mining NoMetaDescription Web Usage Mining [OverView] [Reasearcher List] [Project] [Software] [Conference] [DataSet] [My Reading] Integrated Media Systems Center at USC Letizia: An Agent That Assists Web BrowsingInformation Retrieval ProjectsWeb MiningAdaptive Web SitesWeb Personalization and Mining Using Robust Fuzzy Clustering MethodsText Mining, Web Mining, Information Retrieval and Extraction from WWW References

Mapping how people use a website - Mappa.Mundi Magazine - Map of the Month			Inline:Small, Med, Large:: CLOSE
3	WebHCI	Usage
`Article:mappa.mundi.net/maps/maps_022`
A major challenge in designing and operating a large website is understanding how people use your site. We focus on one particular visualization system developed by Fry called anemone. What is organic information design, the underpinning concept of Ben Fry's visualization research?

NIST Web Metrics Home Page			Inline:Small, Med, Large:: CLOSE
4	WebHCI	Usage
`Software:zing.ncsl.nist.gov/WebTools/`
Traditional usability engineering techniques can be difficult to apply to web usability evaluation because the users are heterogeneous and geographically dispersed. The objective of the NIST Web Metrics Testbed is to explore the feasibility of a range of tools and techniques that support rapid, remote, and automated testing and evaluation of website usability. The prototypes are used to support the usability engineering research of the Visualization and Usability Group (VUG).

IBM SurfAid Analytics			Inline:Small, Med, Large:: CLOSE
5	WebHCI	Usage
`Article:surfaid.dfw.ibm.com/web/home/whitepapers/ecommerce.html`
Determining how customers interact with your web site and determining which selling approaches are the most effective require in-depth web site analysis. Using web log data1, you measure shopping cart abandonment, effective product layout, and effective cross selling. Shopping Cart Abandonment Measuring shopping cart abandonment is important to web retailers.

On Mining Web Access Logs - Joshi, Krishnapuram (ResearchIndex)			Inline:Small, Med, Large:: CLOSE
6	WebHCI	Usage
`HypertextNode:citeseer.nj.nec.com/267154.html`
Context Related Download:umbc.edu/~ajoshi/webmine/tr1.ps.gz Cached: PS.gz PS PDF Image Update Help From: umbc.edu/~ajoshi/w... (Correct) 14.4%: Mining Web Access Logs Using Relational Competitive .. - 1998 Doc 2 Data Mining - Han - 1999 Documents on the same site (http://www.cs.umbc.edu/~ajoshi/web-mine/publications.html): More Mining Web Access Logs Using ...

Web Click Stream Analysis Using Linux Clusters			Inline:Small, Med, Large:: CLOSE
7	WebHCI	Usage
`Software:noframes.linuxjournal.com/articles/style/0015.html`
I used the Informix XPS database for testing the cluster database scalability. LINUX JOURNAL: Magazine Free Trial Issue Subscribe! ABOUT LINUX: News --> How to Get Linux What is Linux?

Cheese			Inline:Small, Med, Large:: CLOSE
8	WebHCI	Usage
`HomePage:www.media.mit.edu/context/cheese.htm`
Conventional web interfaces respond to and consider only mouse clicks when defining a user model. We have extended this and take into account all mouse movements on a page as an additional layer of information for inferring user interest. We have developed a straightforward way to record all mouse movements on a page, and conducted a user study to analyze and investigate mouse behavior trends.

Screen Size and Web Browsing Conclusion Page			Inline:Small, Med, Large:: CLOSE
9	WebHCI	Usage
`HypertextNode:otal.umd.edu/SHORE/bs03/conclusion.html`
There is a balance that needs to be found in every application between the size of these more functional windows and other usable screen area for menus or other windows with textual and image information. Practitioners should look for easier ways to view file and application windows in graphical user interfaces. Because of the trend towards multiple window applications, a goal should be to determine a good guideline for balance between the sizes of various types of windows.

PHPBuilder.com - User route tracing			Inline:Small, Med, Large:: CLOSE
10	WebHCI	Usage
`Discussion:www.phpbuilder.com/columns/duncan20010413.php3`
forumsDatabase Talk (Archive) listing field names in oracle Re:Article on Storing Checkbox Data HTML/PHP email? It's simple just record the page requested, time, IP number and maybe the refering URL. How many people go to the columns page and look at all the articles?

Web server log file analysis (Online web usability resources)			Inline:Small, Med, Large:: CLOSE
11	WebHCI	Usage
`Collection:usability.deyalexander.com/resources/serverlogs.html`
Assessing Web Site Usability from Server Log Files: white paper from Tech Ed (PDF format) Web Server Log File Analysis- Basics: good explanation of what server logs contain and how to read them. Measuring User Motivation from Server Log Files: a research paper on what we can learn about users from web server logs The End of the Hit Parade: article on how to make use of data from server logs The Value of Web Log Data in Use-Based Design and Testing: article from the Journal of Computer-...

Abstract "Using Web Server Access Logs to Enhance Community"			Inline:Small, Med, Large:: CLOSE
12	WebHCI	Usage
`Abstract:www-staff.it.uts.edu.au/~lueg/abstracts/aus2000.html`
Using Web Server Access Logs to Enhance Community Technical Report IFI-AI-00.21. Abstract: Web server access logs analyses are frequently used for re-structuring Web sites, such as simplifying most-wanted access paths or pruning unwanted parts. In this paper, we present findings of an informal investigation of Web server access logs and we discuss how these insights can used to enhance Web sites from a community-oriented perspective.

Characterizing Browsing Strategies			Inline:Small, Med, Large:: CLOSE
13	WebHCI	Usage
`Article:www.igd.fhg.de/archive/1995_www95/proceedings/papers/80/userpatterns/UserPatterns.Paper4.formatted.html`
Actual user behavior, as determined from client-side log file analysis, supplemented our understanding of user navigation strategies as well as provided real interface usage data. Log file analysis also yielded design and usability suggestions for WWW pages, sites and browsers. Log file analysis also yields design and usability guidelines for WWW pages, sites and browsers.

Visualization of a Crowd at a Web Site			Inline:Small, Med, Large:: CLOSE
14	WebHCI	Usage
`HomePage:nelson.www.media.mit.edu/people/nelson/research/crowdvis/index.html`
Abstract:A visualization of the crowds of people visiting a web site is developed. Visitors are drawn as icons on a map of the web site; the animation of people's movements conveys the crowd dynamics of visitors. The visualization combines three pieces: a map of the web site, an iconic representation of individual visitors, and an interpretation of the dynamics of visitor patterns to show crowd phenomena.

THE SECRET LIVES OF NUMBERS			Inline:Small, Med, Large:: CLOSE
15	WebHCI	Usage
`Database:www.turbulence.org/Works/nums/`
The resulting information exhibits an extraordinary variety of patterns which reflect and refract our culture, our minds, and our bodies. Our present relationship with numbers reveals both a highly developed tool and a highly developed user, working together to measure, create, and predict both ourselves and the world around us. One intriguing result of this symbiosis is that the numeric system we use to describe patterns, is actually used in a patterned fashion to describe.

eLab - Research: Data Downloads			Inline:Small, Med, Large:: CLOSE
16	WebHCI	Usage
`Database:ecommerce.vanderbilt.edu/research/data/index.htm`
October 1997 GVU 8 Flow Data Set The revised version of our flow survey fielded in the 8th GVU survey is available as a tab-delimited dataset , along with a copy of the survey instrument. April 1997 GVU 7 Flow Data Set The "flow" data set used in the paper, Hoffman and Novak (1997), "Measuring the Flow Experience Among Web Users" is publicly available as a tab-delimited dataset , along with a copy of the survey instrument. With the exception of our survey, which was ...

LOGML (Log Markup Language)			Inline:Small, Med, Large:: CLOSE
17	WebHCI	Usage
`Collection:www.cs.rpi.edu/~puninj/LOGML/`
07/24/2001 "LOGML - Log Markup Language for Web Usage Mining", in WEBKDD Workshop 2001: Mining Log Data Across All Customer TouchPoints (with SIGKDD01), San Francisco, August 2001. 05/20/2001 Book Chapter: "Web Usage Mining: Languages and Algorithms" to appear in Studies in Classification, Data Analysis, and Knowledge Organization, Springer-Verlag, 2001. LOGML Specification Log Markup Language (LOGML) is an XML 1.0 application designed to describe log reports of web servers.

WEBKDD'2001 Accepted Papers			Inline:Small, Med, Large:: CLOSE
18	WebHCI	Usage
`Collection:robotics.stanford.edu/~ronnyk/WEBKDD2001/WEBKDD2001Accept.html`
WEBKDD'2001 Accepted papers Please note that some papers have long presentations (25 minutes + 5 minutes for questions) and some have short presentations (15 minutes + 5 minutes for questions). 9:10-9:30 Alexandros Nanopoulos, Dimitrios Katsaros, Yannis Manolopoulos, Effective Prediction of Web-user Accesses, A Data Mining Approach (short talk). 11:20-11:40 Joshua Zhexue Huang, Joe Ng, David W. Cheung, Michael K. Ng, A Cube Model for Web Access Sessions and Cluster Analysis ...

Research on Web Mining			Inline:Small, Med, Large:: CLOSE
19	WebHCI	Usage
`HypertextNode:www.cs.ualberta.ca/~tszhu/webmining.htm`
This describes the automatic search of information resources available online, i.e. Web content mining, and the discovery of user access patterns from Web servers, i.e., Web usage mining. There are roughly three knowledge discovery domains that pertain to web mining: Web Content Mining, Web Structure Mining, and Web Usage Mining. Finally, web usage mining, also known as Web Log Mining, is the process of extracting interesting patterns in web access logs.

WUM: Description			Inline:Small, Med, Large:: CLOSE
20	WebHCI	Usage
`HypertextNode:wum.wiwi.hu-berlin.de/wumDescription.html`
Web Usage Mining: Data Mining über die Nutzung des Web. [Spiliopoulou and Faulstich, 1999]Myra Spiliopoulou and Lukas C. Faulstich. [Spiliopoulou and Faulstich, 1998]Myra Spiliopoulou and Lukas C. Faulstich.

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