PPT-Search Engines Information Retrieval in Practice

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. 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. MIS 314. Professor Sandvig. Overview. Why Design for Search Engines. What users want from a search engine. Google. Market share. How Google Works. PageRank. Search Engine spamming. Design features to Avoid. . 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. 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. 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. 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. Daniel Kauffman. Agenda. What is a Search Engine?. Examples of popular Search Engines. Search Engines statistics. Why is Search Engine marketing important?. . What is a SEO Algorithm?. Steps to developing a good SEO strategy. 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. 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. 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. 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 --.