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1 Information Retrieval and Advanced Internet Services 290N Class Introduction Tao Yang, 2015 http://www.cs.ucsb.edu/~tyang/class/290N15/
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2 Introduction Internet users Interests/content Importance of search engine traffic Online advertisement Class Topics
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Sales of PCs/Mobile Devices http://www.businessinsider.com/the-future-of-mobile-deck-2012-3?op=1
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Internet Users
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Users’ interests in information search
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More Mobil Search (2012 Survey)
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Web Search Engine Market in USA (May 2014) Google: 67.6% Bing: 18.7% Yahoo: 10% Ask: 2.4% AOL: 1.3%
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8 Content trend and ownership Content consumption is fragmenting – nobody owns more than 10% of WWW pageviews No single place will own all the content [Ramakrishnan and Tomkins 2007]
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Search Traffic is Important for Business
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2012 Survey: Web Search Importance for Business
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Online advertising market, Worldwide
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12 Search query Ad
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13 Course Objectives Practice and experience for building search services and developing related mining applications Broad topics in web mining and search engines, advertisement Algorithms & System support Workload: Group project (2 persons). –paper reviewing and presentation –Implementation/evaluation. Report. 2 group HW exercises (Lucene/Solr search, Hadoop log analysis) Exam vs 2 exams.
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14 Course Topics Information Retrieval & Web Search Indexing, Compression, and Online Search Ranking methods with text/ link/click analysis. Machine learning. Text Mining Duplicate analysis. Text Categorization and Clustering Recommendation Advertisement Systems Support Online servers and offline computation. MapReduce. Caching. Crawling and document parsing. Open source systems
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15 Expected Work Tentatively Project 50%. Take-home exam 40%. 10% HW exercise. Timeline Jan 29: 1-page project proposal (plain email text). Week of Feb: – Meet with me and select paper(s) for reviewing. – Demo for HW 1 Mid of Feb: –Exam 1. Project progress & related papers presentation End of Feb. HW2 –Then schedule second meeting with me on HW2 and proj Mid of March: –Project demo/interview –Final project slides/report. Exam 2. Problems based on class presentation/references/HW.
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16 References Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze (MRS), Introduction to Information Retrieval, Cambridge University Press. 2008.Christopher D. ManningPrabhakar Raghavan Hinrich Schütze Search Engines: Information Retrieval in Practice by Croft, Metzler, Strohman (CMS) Addison-Wesley, 2010 Selected papers www.cs.ucsb.edu/~tyang/class/290N15
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17 Class Computing Resource & Info Triton supercomputer accounts: CSIL sandbox disk space /cs/sandbox/class/cs290n /cs/sandbox/student/ 290N class discussion group at Google.com (we will send an invitation based on the class list).
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