PPT-Search Engines Information Retrieval in Practice

Author : kittie-lecroy | Published Date : 2018-12-13

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

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Search Engines Information Retrieval in Practice: Transcript

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 . 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). 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. 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 . 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 . 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. 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 . 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. Search Engine Architecture. A software architecture consists . of . software . components, the interfaces provided by those . components, and . the relationships between . 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. Fatemeh. Azimzadeh. Books. (Manning et al., 2008). Christopher D. Manning, . Prabhakar. . Raghavan. , and . Hinrich. . Schütze. . Introduction to Information Retrieval. Cambridge University Press, 2008. . 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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