Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 3.1 Chapter 3 : The Problem of Web Navigation.

Slides:



Advertisements
Similar presentations
Web Usage Mining Web Usage Mining (Clickstream Analysis) Mark Levene (Follow the links to learn more!)
Advertisements

Recommender Systems & Collaborative Filtering
Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 4.1 Chapter 4 : Searching the Web The mechanics.
Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 7.1 Chapter 7 : Navigating the Web Frustration.
WWW Search and Navigation Mark Levene SCIS, Birkbeck College University of London
Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 1.1 Chapter 1 : Introduction The World-Wide-Web.
Search Engine – Metasearch Engine Comparison By Ali Can Akdemir.
Overview of Adaptive Navigation Technologies Michal Tvarožek FIIT STU BA.
Easing Semantic Data Publishing and Processing Using Semantic MediaWiki and RDFa Jin Guang Zheng.
Web Search – Summer Term 2006 VI. Web Search - Ranking (c) Wolfgang Hürst, Albert-Ludwigs-University.
Chapter 12: Web Usage Mining - An introduction
WebMiningResearch ASurvey Web Mining Research: A Survey Raymond Kosala and Hendrik Blockeel ACM SIGKDD, July 2000 Presented by Shan Huang, 4/24/2007.
Copyright © 2004 Pearson Education, Inc. Slide 7-1 E-commerce Kenneth C. Laudon Carol Guercio Traver business. technology. society. Second Edition.
Copyright © 2008 Pearson Education, Inc. Chapter 11 Probability and Calculus Copyright © 2008 Pearson Education, Inc.
WebMiningResearchASurvey Web Mining Research: A Survey Raymond Kosala and Hendrik Blockeel ACM SIGKDD, July 2000 Presented by Shan Huang, 4/24/2007 Revised.
Searching the World Wide Web From Greenlaw/Hepp, In-line/On-line: Fundamentals of the Internet and the World Wide Web 1 Introduction Directories, Search.
WWW and Internet The Internet Creation of the Web Languages for document description Active web pages.
Chapter 9 e-Commerce Systems.
SEARCH ENGINES By, CH.KRISHNA MANOJ(Y5CS021), 3/4 B.TECH, VRSEC. 8/7/20151.
Customer Service and Web Site Personalization Back to Table of Contents.
SEO PACKAGES. Types of Plans Starter Plan Business Plan Enterprises Plan.
Slide 10.1 Chaffey et al., Digital Marketing: Strategy, Implementation and Practice, 5 th edition © Pearson Education Limited 2013 Chapter 10 Evaluation.
Query Log Analysis Naama Kraus Slides are based on the papers: Andrei Broder, A taxonomy of web search Ricardo Baeza-Yates, Graphs from Search Engine Queries.
SMALL BUSINESS MANAGEMENT Chapter 9 Small Business and Electronic Commerce.
Alexander Hartmann.  Free service offered by Google that generates detailed statistics about the visitors to a website. A premium version is also available.
Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 9.1 Chapter 9 : Social Networks What is a social.
Search Engine Safe URLs presented by Ben Ellefson
Introduction to E-Marketing Understanding Marketing Techniques in the new E-conomy.
Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 8.1 Chapter 8 : The Mobile Web Mobile computing.
Marketing Management Online marketing
What is ? Free service offered by Google The most widely used website statistics service* Provides statistics and reports about visitors and transactions.
Optimizing Marketing Spend Through Multi-Source Conversion Attribution David Jenkins.
CROSSMARC Web Pages Collection: Crawling and Spidering Components Vangelis Karkaletsis Institute of Informatics & Telecommunications NCSR “Demokritos”
WebMining Web Mining By- Pawan Singh Piyush Arora Pooja Mansharamani Pramod Singh Praveen Kumar 1.
Web software. Two types of web software Browser software – used to search for and view websites. Web development software – used to create webpages/websites.
News-Directory.org Meta Search Engine. What is a Search Engine? A Search Engine is an online tool which helps the users in finding the web sites or the.
Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 6.1 Chapter 6 : Different Types of Search Engines.
Slide 6-1 Copyright © 2004 Pearson Education, Inc.
CHAPTER 15 SECTION 1 – 2 Markov Models. Outline Probabilistic Inference Bayes Rule Markov Chains.
HTC ProSearch Technology demonstrates HTC’s ability to develop industry-leading e-commerce technology and online business solutions for high-volume transactional.
Chapter 12: Web Usage Mining - An introduction Chapter written by Bamshad Mobasher Many slides are from a tutorial given by B. Berendt, B. Mobasher, M.
The Business Model of Google MBAA 609 R. Nakatsu.
University of Malta CSA3080: Lecture 3 © Chris Staff 1 of 18 CSA3080: Adaptive Hypertext Systems I Dr. Christopher Staff Department.
Search Tools and Search Engines Searching for Information and common found internet file types.
Augmenting Focused Crawling using Search Engine Queries Wang Xuan 10th Nov 2006.
Post-Ranking query suggestion by diversifying search Chao Wang.
Copyright © 2002 Pearson Education, Inc. Slide 3-1 Internet II A consortium of more than 180 universities, government agencies, and private businesses.
University of Malta CSA4080: Topic 7 © Chris Staff 1 of 15 CSA4080: Adaptive Hypertext Systems II Dr. Christopher Staff Department.
CP3024 Lecture 12 Search Engines. What is the main WWW problem?  With an estimated 800 million web pages finding the one you want is difficult!
2.04 Information Gathering. Sources of Internal Sport/Event Records Tickets sold Merchandise sold Invoices Purchase orders Technology.
Predicting Short-Term Interests Using Activity-Based Search Context CIKM’10 Advisor: Jia Ling, Koh Speaker: Yu Cheng, Hsieh.
Chapter 2 Opener © 2014 Pearson Education, Inc.. Figure 2.1 © 2014 Pearson Education, Inc.
1 Chapter 22 World Wide Web (HTTP) Chapter 22 World Wide Web (HTTP) Mi-Jung Choi Dept. of Computer Science and Engineering
KiloBytes Technologies “New Face Of Technology” / Website: SEOwww.kilobytes.inSEO.
Images were sourced from the following web sites: Slide 2:commons.wikimedia.org/wiki/File:BorromeanRing...commons.wikimedia.org/wiki/File:BorromeanRing...
Chapter 8 E-Commerce Technologies Introduction to Business Information Systems by Mark Huber, Craig Piercy, Patrick McKeown, and James Norrie.
Glencoe Introduction to Multimedia Chapter 2 Multimedia Online 1 Internet A huge network that connects computers all over the world. Show Definition.
SEARCH ENGINE by: by: B.Anudeep B.Anudeep Y5CS016 Y5CS016.
Recommender Systems & Collaborative Filtering
Search Engines and Link Analysis on the Web
Search Engine Optimization
Chapter 4 Opener © 2014 Pearson Education, Inc..
Chapter 11 Opener © 2014 Pearson Education, Inc..
Problem Markov Chains 1 A manufacturer has one key machine at the core of its production process. Because of heavy use, the machine.
Voice Activation for Wealth Management
Website production.
Use an Internet Browser
Web Mining Research: A Survey
COMPUTER HISTORY, PRESENT & FUTURE. What is a Computer? A computer is a machine that can be instructed to carry out sequences of arithmetic or logical.
Information Gathering
Presentation transcript:

Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 3.1 Chapter 3 : The Problem of Web Navigation User’s often get “lost in hyperspace” when –Following links on web pages, or –Jumping to and from search engine results. Machine learning can provide a sound basis for improving web intreraction.

Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 3.2 Getting lost in hyperspace Figure 3.1: The navigation problem

Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 3.3 Getting lost in hyperspace Figure 3.2: Being lost in hyperspace

Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 3.4 The Naïve Bayes Classifier: Automatic classification of web pages can widen the scope and size of web directories

Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 3.5 Trails should be First-Class Objects Figure 3.3: Example web site

Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 3.6 Trails should be First-Class Objects Figure 3.4: Four trails within a web site

Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 3.7 Trails should be First-Class Objects Figure 3.5: Query results for “mark research”

Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 3.8 Trails should be First-Class Objects Figure 3.6: Relevant trail for “mark research”

Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 3.9 Markov chains Markov chains have been extensively studied by statisticians and have been applied in a wide variety of areas.

Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 3.10 The probabilities of following links Figure 3.7: Markov chain for example web site

Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 3.11 The probabilities of following links Figure 3.8: Two trails in the Markov chain

Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 3.12 The probabilities of following links Figure 3.9: Probabilities of the four trails

Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 3.13 The relevance of links Figure 3.10: Scoring web pages

Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 3.14 The relevance of links Figure 3.11: Constructing a chain from scores

Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 3.15 Conflict Between Web Site Owner and Visitor The web site owner has objectives related to the business model of the site, e.g. selling products in an e-commerce site. The objectives of visitors are related to their information needs, e.g. gathering information in an e-commerce site. Web site owners would like to identify their visitors (e.g. via cookies), while visitors may prefer to remain anonymous.

Mark Levene, An Introduction to Search Engines and Web Navigation © Pearson Education Limited 2005 Slide 3.16 Conflict Between Semantics of Web Site and Business Model E.g. the objective of an e-commerce site is to convert visitors into customers. But to keep visitors satisfied a web site must provide solutions to users’ information needs. There must be a balance between web site navigability and the business objectives of the site.