PPT-Search Engines Information Retrieval in Practice
Author : olivia-moreira | Published Date : 2018-11-13
All slides Addison Wesley 2008 Retrieval Models Provide a mathematical framework for defining the search process includes explanation of assumptions basis of many
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Search Engines Information Retrieval in Practice: Transcript
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. 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. 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. 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. 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. 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. 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. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. Processing Text. Converting documents to . index terms. Why?. Matching the exact string of characters typed by the user is too restrictive. 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. 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 . 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. 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 --. Fatemeh. Azimzadeh. Books. (Manning et al., 2008). Christopher D. Manning, . Prabhakar. . Raghavan. , and . Hinrich. . Schütze. . Introduction to Information Retrieval. Cambridge University Press, 2008. .
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