PPT-Search Engines Information Retrieval in Practice

All slides Addison Wesley 2008 Web Crawler Finds and downloads web pages automatically provides the collection for searching Web is huge and constantly growing Web is not under the control of search engine providers. 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. 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. 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. 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. What is IR?. Sit down before fact as a little child, . be prepared to give up every conceived notion, . follow humbly wherever and whatever abysses nature leads, . or you will learn nothing. . . -- Thomas Huxley --. 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.