Search Results By Roger C. Wei 10/22/2002 LIS 385T: Information Architecture and Design.

Slides:



Advertisements
Similar presentations
Information Retrieval (IR) on the Internet. Contents  Definition of IR  Performance Indicators of IR systems  Basics of an IR system  Some IR Techniques.
Advertisements

Chapter 5: Introduction to Information Retrieval
Natural Language Processing WEB SEARCH ENGINES August, 2002.
Best Web Directories and Search Engines Order Out of Chaos on the World Wide Web.
Internet Resources Discovery (IRD) Search Engines Quality.
Mastering the Internet, XHTML, and JavaScript Chapter 7 Searching the Internet.
(c) Maria Indrawan Distributed Information Retrieval.
1 Pertemuan 20 Searching Mechanisms Matakuliah: M0284/Teknologi & Infrastruktur E-Business Tahun: 2005 Versi: >
Searching The Web Search Engines are computer programs (variously called robots, crawlers, spiders, worms) that automatically visit Web sites and, starting.
1 ETT 429 Spring 2007 Microsoft Publisher II. 2 World Wide Web Terminology Internet Web pages Browsers Search Engines.
Search engines. The number of Internet hosts exceeded in in in in in
Learning Objectives Secondary Data & Databases Copyright © 2002 South-Western/Thomson Learning Chapter four.
Best Web Directories and Search Engines Order Out of Chaos on the World Wide Web.
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.
Unit 3 Web Search Engines. Can You Find the Answers? n Connect to Google Google n Search for items on Iran Records ________ n Combine Iran with nuclear.
WHAT HAVE WE DONE SO FAR?  Weeks 1 – 8 : various components of an information retrieval system  Now – look at various examples of information retrieval.
Personalized Ontologies for Web Search and Caching Susan Gauch Information and Telecommunications Technology Center Electrical Engineering and Computer.
SEARCH ENGINES By, CH.KRISHNA MANOJ(Y5CS021), 3/4 B.TECH, VRSEC. 8/7/20151.
What are search engines? Tools used for locating web pages Automated software programs known as spiders or bots to survey the Web and build their databases.
Copyright © Allyn & Bacon 2008 This multimedia product and its contents are protected under copyright law. The following are prohibited by law: any public.
Search engines Christian Rennerskog, Jonas Rosling, Mattias Olsson.
Introductions Search Engine Development COMP 475 Spring 2009 Dr. Frank McCown.
Search Engines Meta Engines People Directories Subject Directories Domains explained URLs explained Hypertext Language Contents.
Yahoo! Acquires Inktomi March 19 th, Yahoo!
Information Literacy by Mariah Germosen. WHAT COMES TO YOUR MIND WHEN YOU THINK ABOUT THE WORD EXCITE?
Types of Periodicals in Literature Professional Scholarly Literary.
Automatically Extracting Data Records from Web Pages Presenter: Dheerendranath Mundluru
NCBI/WHO PubMed/Hinari Course Introduction Session #1, Sept 13, 2005 Session #2, Sept 14, 2005 Internet Concepts and Scientific Literature Resources Ho.
Overview What is a Web search engine History Popular Web search engines How Web search engines work Problems.
Search Engine By Bhupendra Ratha, Lecturer School of Library and Information Science Devi Ahilya University, Indore
Searching Information. General Steps Identifying Key Words, Synonyms, and Key Phrases Constructing an effective search statement Advance search/boolean.
Search Engines By Wanda Dansby CECS 5030 Dr. Knezek.
1 Information Retrieval Acknowledgements: Dr Mounia Lalmas (QMW) Dr Joemon Jose (Glasgow)
What to Know: 9 Essential Things to Know About Web Searching Janet Eke Graduate School of Library and Information Science University of Illinois at Champaign-Urbana.
Proprietary & confidential 1 The Future of Search JJ Hollowell CIO, icrossing, Inc. Spring 2005.
XP New Perspectives on The Internet, Sixth Edition— Comprehensive Tutorial 3 1 Searching the Web Using Search Engines and Directories Effectively Tutorial.
The Internet 8th Edition Tutorial 4 Searching the Web.
Search Engines. Search Strategies Define the search topic(s) and break it down into its component parts What terms, words or phrases do you use to describe.
Where do I find it? Created by Connie CampbellConnie Campbell.
Search Engines June 20, 2005 LIBS100 Linda Galloway.
Search Engines.
4 1 SEARCHING THE WEB Using Search Engines and Directories Effectively New Perspectives on THE INTERNET.
Search Pages and Results LIS 385E: Information Architecture and Design By: Alex Chung
The World Wide Web: Information Resource. Hock, Randolph. The Extreme Searcher’s Internet Handbook. 2 nd ed. CyberAge Books: Medford. (2007). Internet.
Search Tools and Search Engines Searching for Information and common found internet file types.
Modern Information Retrieval Presented by Miss Prattana Chanpolto Faculty of Information Technology.
Internet and WWW. Internet Network linking computers to other computers Access to numerous resources – Communications systems Instant messaging.
Search the Web Looking for a Needle in a Haystack Cut the Haystack Down to Size.
Searching for NZ Information in the Virtual Library Alastair G Smith School of Information Management Victoria University of Wellington.
Information Retrieval
The World Wide Web: Information Resource. How a Search Engine works… How Search Works - YouTube
Search Engines Information Technology and Social Life March 2, 2005.
Navigation and Menus Will Meurer. Topics Navigation Basics Navigational Elements Other Navigation Techniques Implementation Usability Take Away Points.
Web Search Architecture & The Deep Web
Internet Power Searching: Finding Pearls in a Zillion Grains of Sand By Daniel Arze.
Finding Information on the Internet Finding Resources for your WebQuest…efficiently!
School of Information – (Current Student Section) By: Amit Sharma | inf 385e Fall iSchool, UT- Austin
W orkshops in I nformation S kills and E lectronic R esources Oxford University Library Services – Information Skills Training Finding quality information.
Learning how to search on the web “If all you ever do is all you’ve ever done, then all you’ll ever get is all you’ve ever got.” (author unknown)
Third Edition Discovering the Internet Discovering the Internet Complete Concepts and Techniques, Second Edition Chapter 3 Searching the Web.
Lecture 4 Access Tools/Searching Tools. Learning Objectives To define access tools To identify various access tools To be able to formulate a search strategy.
Session 5: How Search Engines Work. Focusing Questions How do search engines work? Is one search engine better than another?
SEMINAR ON INTERNET SEARCHING PRESENTED BY:- AVIPSA PUROHIT REGD NO GUIDED BY:- Lect. ANANYA MISHRA.
SEARCH ENGINE by: by: B.Anudeep B.Anudeep Y5CS016 Y5CS016.
Using Search Tools on the Internet
Eric Sieverts University Library Utrecht Institute for Media &
Data Mining Chapter 6 Search Engines
(with thanks to Bruce Mayer, PE)
Web Searching Everything, now..
Presentation transcript:

Search Results By Roger C. Wei 10/22/2002 LIS 385T: Information Architecture and Design

History of e-Info Searching 1960s Electronically searched info on computer End-user search system was introduced First commercial CD-ROM appeared Emergence of the World Wide Web Gopher was fully functional Emergence of first Web search engine (WebCrawler).

What is Search Results Search results refer to presentation of content that matches the user’s search query (Rosenfeld & Morville, 2002). Consist of individual hits.

Search Tools on the Web About 85% of web users surveyed use search engines to find specific information. Results of a web search depend on the selected search engine.

Searching and Ranking Process (1) match the search words (2) process the search syntax (3) construct a set of documents (4) assign a weight (5) use the assigned weights to rank (6) display the search results

Relevance An abstract measure of how well a document satisfy the user’s info need. A subjective notion and difficult to quantify.

Factors of Ranking (1/2) Popularity of the page Frequency of terms Number of query terms matched Rarity of terms Weighting by field Proximity of terms Word variants

Factors of Ranking (2/2) Weighting according to the order where the searcher entered terms Case-sensitivity Analysis of documents in the database Relevance feedback applied to retrieved records Date

What re-ranking search results are User User Interface Database Selector Doc Selector Query Dispatcher Search Engine Search Engine Search Engine Result Merger

Measure of IR tool Effectiveness Recall= the number of retrieved relevant documents the number of relevant documents Precision= the number of retrieved relevant documents the number of retrieved documents

Recall vs. Precision Recall Precision

Search Evaluation Must be examined in pairs. Two Issues:  Not easy to define relevancy  Difficult to know the # of relevant doc that have not been retrieved.

Survey of Existing Engines (1/2) Major Search Engines: Google, Teoma, AllTheWeb.com (FAST), Yahoo, MSN Search, Lycos, Ask Jeeves, AOL Search, WiseNut, Inktomi, LookSmart, Open Directory, Overture, AltaVista, HotBot, Netscape Search. News Search Engines: AltaVista News Specialty Search Engines: Ask Jeeves Kids Search Engines: AOL Kids Only

Survey of Existing Engines (2/2) Metacrawlers: Dogpile, Metacrawler, Cnet Search, Search.com, ProFusion, Mamma, Ixquick. Multimedia Search Engines: MP3.com. Regional Search Engines: Mosaique. Paid Listings Search Engines: Overture. Search Utilities: Copernic.

Search Results & Info Architecture -IA, organization info to reach info needs. IA provides more considerations for the way engines display results. IA indirectly increase user’s satisfaction in info needs, when IR don’t have a major breakthrough.

Interface Design at the Search results page: Farkas (2002) Display a number indicating the total number of results. Provide a query form on the results page. Offer some tips on searching if no results. Hits must provide sufficient information.

Interface Design at the Search results page: Van Duyne (2002) Provide relevant summaries Offer clear organization Provide good hyperlinked titles for each hit Use log files to tailor results for the most common search terms Compensate for common misspellings Provide support for common search tasks

Interface Design at the Search results page: Rosenfeld (2002) -variables to consider: The level of searching expertise users have. The type of results users want. The type of information being searched. The amount of information being searched.

Search Results Interface Google vs. Hotbot.

References Baeza-Yates, R. & Ribeiro-Neto, B. (1999) Modern Information Retrieval. Addison-Wesley, Reading, MA, USA. Chowdhury, A. & Soboroff, I. (2002) Automatic Evaluation of World Wide Web Search Services, Proceeding of the twenty-fifth annual international conference on research and development in information retrieval, August 11-15, 2002, , Tampere, Finland. Chowdhury G. G. & Chowdhury S. (2001) information sources and searching on the world wide web. Library Association Publishing. London, UK. Farkas, D. K., & Farkas J. B. (2002) Principles of Web Design. Pearson Education, Inc. Glossbrenner, A. & Glossbrenner, E. (1999) Search engines for the world wide web, 2nd edn, Peachpit Press. Google: How to Interpret your Search Results (2002). Retrieved October 18, 2002, from: Hagedorn, K. (2000) Information Architecture Glossary. Retrieved October 18, 2002, from: Henninger, M. (1999) Don’t Just Surf: effective reserch strategies for the Net, 2nd Edition, Univeristy of New South Wales Press, Australia. Hock, R. E. (2001) The extreme searcher’s guide to web search engines: a handbook for the serious searcher, 2nd Edition. CyberAge Books, Information Today, Inc. New Jersey, USA.

Jansen, B. J An investigation into the use of simple queries on Web IR systems. Information Research: An Electronic Journal. 6(1). Kobayashi, M. & Takeda, K. (2000) Information Retrieval on the Web. ACM Computing Surveys, 32(2), June 2000, Meng, W., Yu, C. & Liu K. (2002) Building Efficient and Effective Metasearch Engines. ACM Computing Surveys, 34(1), March 2002, 48–89. Morville, P., Rosenfeld, L. B. & Janes, J. (1999) The Internet searcher’s handbook : locating information, people, and software. 2nd Edition. Neal- Schuman Publishers, Inc. NY, USA. Poulter, A., Tseng, G. & Sargent, G. (1999) The Library and Information Professional’s Guide to the World Wide Web, Library Association Publishing. Rosenfeld, L. & Morville P. (2002). Information Architecture for the World Wide Web, 2nd Edition. O’Reilly, Sebastopol, CA, USA. Search Terms Glossary (1998). Retrieved October 20, 2002, from: Sullivan, D. (2002) Search Engine Watch. Retrieved October 10, 2002, from: Van Duyne, D. K., Landay, J. A. & Hong, J. I. (2002) The Desing of Sites: patterns, principles, and processes for crafting a customer-centered Web experience. Addison-Wesley. Weiss, S. (1997) Glossary for Information Retrieval. Retrieved October 10, 2002, from: Yang, R. (1998) Relationship between Precision and Recall ratios and other evaluation methods. Retrieved July 10, 1999, from: