PPT-Search Engines Information Retrieval in Practice
Author : danika-pritchard | Published Date : 2018-12-07
All slides Addison Wesley 2008 Search Engine Architecture A software architecture consists of software components the interfaces provided by those components
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Search Engines Information Retrieval in Practice: Transcript
All slides Addison Wesley 2008 Search Engine Architecture A software architecture consists of software components the interfaces provided by those components and the relationships between . Italo . Trevisan. ). Search. . Engine. . definition. A. computer program that searches documents, especially on the. . World Wide Web, . for a specified word or words and provides a list of documents in which they are found. Chapter 20. Objectives. The . History. and . Anatomy. of Search Engines. Web . Crawlers. and Scrapers. Indexing. and Reverse Indexing. 1. 2. 3. White-Hat . Search Engine Optimization. 5. PageRank. 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. Information Retrieval in Practice. All slides ©Addison Wesley, 2008. Search and Information Retrieval. Search on the Web. 1. is a daily activity for many people throughout the world. S. earch and communication are most popular uses of the computer. 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.. Course summary. Crista. Lopes. Lecture Objective. Know what you know. Problem Space of this course. “Big Data”. How to. collect it. index it. search it for relevant information. Industry segment . 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 . All slides ©Addison Wesley, 2008. How Much Data is Created Every . Minute?. Source: . https. ://www.domo.com/blog/2012/06/how-much-data-is-created-every-minute/. The Search Problem. Search and Information Retrieval. 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
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