PPT-Search Engines Information Retrieval in Practice

All slides Addison Wesley 2008 Social Search Social search Communities of users actively participating in the search process Goes beyond classical search tasks Key differences Users interact with the system. 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. . 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.. 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 . 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. All slides ©Addison Wesley, 2008. Retrieval Models. Provide a mathematical framework for defining the search process. includes explanation of assumptions. basis of many ranking algorithms. can be implicit. 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. 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. Fatemeh. Azimzadeh. Books. (Manning et al., 2008). Christopher D. Manning, . Prabhakar. . Raghavan. , and . Hinrich. . Schütze. . Introduction to Information Retrieval. Cambridge University Press, 2008. . 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.