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). 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. Information Retrieval. Information Retrieval. Konsep. . dasar. . dari. IR . adalah. . pengukuran. . kesamaan. sebuah. . perbandingan. . antara. . dua. . dokumen. , . mengukur. . sebearapa. . 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. 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. What is information retrieval?. CS6501: Information Retrieval. CS@UVa. 2. Why information retrieval . Information overload. “. It refers to the . difficulty. a person can have understanding an issue and making decisions that can be caused by the presence of . 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. 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. 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. 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. 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.