PPT-Search Engines Information Retrieval in Practice

All slides Addison Wesley 2008 Indexes Indexes are data structures designed to make search faster Text search has unique requirements which leads to unique data structures Most common data structure is . MIS 314. Professor Sandvig. Overview. Why Design for Search Engines. What users want from a search engine. Google. Market share. How Google Works. PageRank. Search Engine spamming. Design features to Avoid. . Presentation by Xavier Buck 17.03.2011. How did/do Search Engines influence my businesses and how do I influence them.. Today. . we. . will. . cover. Social Media. Stats. & Trends. CSC . 575. Intelligent Information Retrieval. 2. Source: . Intel. How much information?. Google: . ~100 . PB a . day; 3+ million servers (15 . Exabytes. stored). Wayback Machine has . ~9 . PB + . 100 . Miguel Costa. , Daniel Gomes (speaker). Portuguese Web . Archive. Information Retrieval. is the activity of obtaining . information resources relevant. . to an . information need. from a . collection. Kandi Davis. Computer Science. A search engine is a set of programs which are used to search for information. A internet search engine is designed to specifically search the internet. It is a site you can go to and type in something that you want to look for. The search engine uses its program to search electronically for all of the information available on the internet for what you typed in.. Information Retrieval. Information Retrieval. Konsep. . dasar. . dari. IR . adalah. . pengukuran. . kesamaan. sebuah. . perbandingan. . antara. . dua. . dokumen. , . mengukur. . sebearapa. . ChengXiang. (“Cheng”) . . Zhai. Department of Computer Science. University of Illinois at Urbana-Champaign. http://www.cs.uiuc.edu/homes/czhai. . Email: czhai@illinois.edu. 1. Yahoo!-DAIS Seminar, UIUC. All slides ©Addison Wesley, 2008. Information Needs. An . information need. is the underlying cause of the query . that a . person submits to a search . engine. sometimes called . information problem . Hongning. Wang. CS@UVa. Classical search engine architecture. “The . Anatomy of a Large-Scale . Hypertextual. Web Search . Engine”. - Sergey . Brin. and . Lawrence Page, . Computer networks and ISDN systems. Hongning. Wang. CS@UVa. Classical search engine architecture. “The . Anatomy of a Large-Scale . Hypertextual. Web Search . Engine”. - Sergey . Brin. and . Lawrence Page, . Computer networks and ISDN systems. for Silverlight. Brad Abrams. BradA@microsoft.com. http://blogs.msdn.com/brada. Twitter: @. brada. Why Search Engines Matter. Vast majority of web traffic driven by search. Search engines are the first stop for many new users. All slides ©Addison Wesley, 2008. Beyond Bag of Words. “Bag of Words”. a document is considered to be an unordered collection of words with no relationships. Extending representation. feature-based models. How much of the total web are you able to searchFreshness How often do their crawlers update the copies of the web pages you are searchingCompleteness of textIs the database really full text or only p Use different types of search tools and compare search results. Apply search tool shortcuts and advanced features, including Boolean operators. Perform searches using browser search features. Identify and use specialized search tools.