Adaptive Web Sites Authors : Mike Perkowitz, Oren Etzioni Source : Communications of the ACM, Volume 43 Issue 8, 2000 Speaker :Li-Ya Liao Adviser : Ku-Yaw.

Slides:



Advertisements
Similar presentations
Publish or be damned… building your publication record John Germov Zlatko Skrbis.
Advertisements

Data Mining and the Web Susan Dumais Microsoft Research KDD97 Panel - Aug 17, 1997.
Web Mining.
Link Prediction and Path Analysis using Markov Chains
1 COMM 1213 H1 COMP 4923 X1 HTML Page Structure and Navigation (Readings: Ch. 5 Lazar)
Mining di Dati Web Web Community Mining and Web log Mining : Commody Cluster based execution Romeo Zitarosa.
Presentation Name Elements and Standards
Mobile Marketing in Practice
WebMiningResearch ASurvey Web Mining Research: A Survey Raymond Kosala and Hendrik Blockeel ACM SIGKDD, July 2000 Presented by Shan Huang, 4/24/2007.
WebMiningResearch ASurvey Web Mining Research: A Survey By Raymond Kosala & Hendrik Blockeel, Katholieke Universitat Leuven, July 2000 Presented 4/18/2002.
Multimedia & Website Design Initial Planning (Part 2)
1 ETT 429 Spring 2007 Microsoft Publisher II. 2 World Wide Web Terminology Internet Web pages Browsers Search Engines.
Web Mining Research: A Survey
WebMiningResearchASurvey Web Mining Research: A Survey Raymond Kosala and Hendrik Blockeel ACM SIGKDD, July 2000 Presented by Shan Huang, 4/24/2007 Revised.
Structural/Navigational Design Site View Viewing the project from a bird’s eye perspective is a chance to see how the site is organized and how the user.
Hierarchy/navigation and types of navigation in print and electronically.
1 This is info which can be inserted in the master view and appears on each slide automatically Sample PP Slides Spring 2007 n The following slides are.
Web Usage Mining - W hat, W hy, ho W Presented by:Roopa Datla Jinguang Liu.
Creating The Flow Chart Storyboard your site map.
185 Final Project (Also covers Project Proposal and Document Specification)
Mechanical Engineering Building Blocks to Success.
Dawn Pedersen Art Institute. Introduction All your hard design work will suffer in anonymity if people can't find your site. The most common way people.
AppExchange Partner Academy- Building Your Application Listing By Jesse Dailey.
A centre of expertise in digital information managementwww.ukoln.ac.uk QA For Web Sites: Approaches To Testing Brian Kelly UKOLN University of Bath Bath,
Towards Adaptive Websites: A Conceptual Framework and Case Study Mike PerkowitzOren Etzioni Presented By Ben ChildsJames Hunter Sergey PetrovIssam Souilah.
Section 2.1 Compare the Internet and the Web Identify Web browser components Compare Web sites and Web pages Describe types of Web sites Section 2.2 Identify.
Search Engine Optimization. Introduction SEO is a technique used to optimize a web site for search engines like Google, Yahoo, etc. It improves the volume.
Research paper: Web Mining Research: A survey SIGKDD Explorations, June Volume 2, Issue 1 Author: R. Kosala and H. Blockeel.
Web Usage Mining with Semantic Analysis Date: 2013/12/18 Author: Laura Hollink, Peter Mika, Roi Blanco Source: WWW’13 Advisor: Jia-Ling Koh Speaker: Pei-Hao.
No Title, yet Hyunwoo Kim SNU IDB Lab. September 11, 2008.
How To Get Your Website Indexed Efficiently? Robin Liu.
When Experts Agree: Using Non-Affiliated Experts To Rank Popular Topics Meital Aizen.
Research on the Interaction Between Human and Machines University of Houston-Clear Lake Tasha Y. David.
南台科技大學 資訊工程系 A web page usage prediction scheme using sequence indexing and clustering techniques Adviser: Yu-Chiang Li Speaker: Gung-Shian Lin Date:2010/10/15.
Personalization Speaker: Ping-Tsun Chang 3/7/2002.
An Introduction to Missouri Botanical Garden Case Study Presented By 04 June 2008 Josef Staroba Production Director.
Web Personalization Based on Static Information and Dynamic User Behavior Center for E-Business Technology Seoul National University Seoul, Korea Nam,
Section 12.1 Discuss the functions of a Web site Create a feedback form Compare and contrast option buttons and check boxes Section 12.2 Explain the use.
Automated Benchmarking Of Local Authority Web Sites Brian Kelly UK Web Focus UKOLN University of Bath Bath, BA2 7AY UKOLN is supported by:
The New GIL Web Site Overview for Editors Phil Williams GIL Support UGA GUGM 2011 Macon State College 19 May 2011.
--He Xiangnan PhD student Importance Estimation of User-generated Data.
Interface Design Web Design Professor Frank. Design Graphic design and visual graphics are equally important Both work together to create look, feel and.
Data Mining for Web Intelligence Presentation by Julia Erdman.
Managing Content with SharePoint 2007 Module 0. Overview  Introduction  About This Course  Course Outline  Using Virtual PC.
INTERNATIONAL MARKETING PLAN 1. Title page: author(s), course name and number, date, and author’s address and phone number. 2. Research project checklist.
E-Commerce Project Fifth Lecture Mohammed Antour
Chapter 1 Getting Listed. Objectives Understand how search engines work Use various strategies of getting listed in search engines Register with search.
Introduction to Web Site Design. Rest of this semester Wednesday Nov 26th, the last lecture. Friday, Nov 28th, Thanksgiving. Monday Dec 1st, review session.
Chaoyang University of Technology Clustering web transactions using rough approximation Source : Fuzzy Sets and Systems 148 (2004) 131–138 Author : Supriya.
2006/10/25 1 A Virtual Endoscopy System Author : Author : Anna Vilanova 、 Andreas K ö nig 、 Eduard Gr ö ller Source :Machine Graphics and Vision, 8(3),
Information Design Trends Unit Five: Delivery Channels Lecture 2: Portals and Personalization Part 2.
Program Assessment User Session Experts (PAUSE) Information Sessions: RSS & Subscription Services October , 2006.
Notecards and Research A Survival Guide. The topic has been chosen Now what?
Semantic Wiki: Automating the Read, Write, and Reporting functions Chuck Rehberg, Semantic Insights.
Introduction. Internet Worldwide collection of computers and computer networks that link people to businesses, governmental agencies, educational institutions,
Personalizing the Web Todd Lanning Project 1 - Presentation CSE 8331 Dr. M. Dunham.
5/00
IST 6160 Enthusiastic Studysnaptutorial.com
Objective % Explain concepts used to create websites.
3.02C Website Organization
Finding replicated web collections
Boštjan Kožuh Statistical Office of the Republic of Slovenia,
Notecards and Research
CS431 Technical Paper Guidelines
Objective Explain concepts used to create websites.
Web Mining Research: A Survey
Google Analytics Data for “Going Out There” website
Title Introduction: Discussion & Conclusion: Methods & Results:
CS7026: Authoring for Digital Media
CS4310 Technical Paper Guidelines
Presentation transcript:

Adaptive Web Sites Authors : Mike Perkowitz, Oren Etzioni Source : Communications of the ACM, Volume 43 Issue 8, 2000 Speaker :Li-Ya Liao Adviser : Ku-Yaw Chang

Outline Introduction Web management assistant Conclusion 2010/4/221

Introduction Designing a complex web site is difficult Must anticipate users’ needs Users Different views of the site’s information Needs may change over time Usage patterns may violate initial expectation Web sites Too often fossils cast in HTML 2010/4/222

Introduction Understanding how users View the data Use the site For a complex site Tests are expensive and time-consuming Logs contain massive amounts of data 2010/4/223

Outline Introduction Web management assistant Conclusion 2010/4/224

Web management assistant This paper proposes a system Web management assistant Process massive amounts of data about site usage Suggest useful adaptation Develop adaptive Web sites Semi-automatically improve their organization and presentation By learning from visitor access patterns 2010/4/225

Web management assistant Various approaches to adaptive Web sites Automated tour guides to personalized recommendation Charting the “footprints’’ left by visitors 2010/4/226

Common questions 1/4 What is the division of labor between the automated assistant and the human Web master? Fully manual Fully automated Semi-automated 2010/4/227

Common questions 2/4 Customization or transformation? Customization is adapting the site’s presentation Needs of individual information Changes impact only that single user Transformation is improving the site’s structure Interactions with all visitors 2010/4/228

Common questions 3/4 What aspects of the Web site are open to change? Yahoo Stocks in the user’s portfolio Weather report to receive 2010/4/229

Common questions 4/4 Are adaptations based on the content of pages or people’s navigational choices? Uses content-based adaptation organizes and presents Content of pages What the pages say and what they are about Access-based adaptation Uses the visitors have interacted with the site to guide 2010/4/2210

Web management assistant Index Page is a page Consist of links to a set of pages Cover a particular topic Define problem Given a Web site and a visitor access log IP, URL, Time 2010/4/2211

Web management assistant Subproblems What is the content of the index page? Does it have a coherent topic? What should its title be? 2010/4/2212

Web management assistant 2010/4/2213 The inner workings of IndexFinder

Web management assistant 2010/4/2214 IndexFinder suggests candidate index pages to the Web master

Outline Introduction Web management assistant Conclusion 2010/4/2215

Conclusion Deploying IndexFinder Test IndexFinder and compared user response Other algorithms and human-authored index pages 2010/4/2216

Conclusion Result 2010/4/2217

The End 2010/4/2218