PPT-Search Engines Information Retrieval in Practice

All slides Addison Wesley 2008 Evaluation Evaluation is key to building effective and efficient search engines measurement usually carried out in controlled laboratory experiments online. Optimization. .. Mark 430. WEEK . 6. Objectives:. Distinguish between the two elements of Search Marketing. search engine optimization (SEO). search engine advertising (SEA). Understand and use some of the organic methods of optimizing a page for search (SEO). 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. 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.. 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. Finding What You’re Looking For. First, Ask a Question . . .. The Search Question. Creating a good search question is half the battle. Types of questions:. Specific: you want the answer to a specific question. 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. 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. Class Activity. Action: . Write. down the . 4 or 5 points. that most impact you from this presentation.. You will need this for the group activity at the end of this presentation.. Key to Learning.