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1 Web Search and Advanced Internet Services 290N Class Introduction Tao Yang, 2014
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2 Introduction Web Search/Traffic User interests –Web content Importance of search engine traffic Online advertisement Class Topics
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Internet Users
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Sales of Mobile Devices/PCs http://www.businessinsider.com/the-future-of-mobile-deck-2012-3?op=1
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More Mobil Search (2012 Survey)
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Users’ Interests
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7 Content trend and ownership Content consumption is fragmenting – nobody owns more than 10% of WW PVs No single place will own all the content [Ramakrishnan and Tomkins 2007]
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Web Search Engine Market in USA (Jan 2012) Google: 66.2% Bing: 15.2% Yahoo: 14.1% Ask: 3% AOL: 1.6%
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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 Questions Do you think an “average” user, knows the difference between sponsored search links and algorithmic search results?
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14 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: 1 take-home exam Group project (2 persons). –paper reviewing and presentation –Implementation/evaluation. Report. 2 group HW exercises (Lucene/Solr search, Hadoop log analysis)
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15 Course Topics 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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16 Expected Work Tentatively Project 50%. Take-home exam 40%. 10% HW exercise. Timeline Jan 29: 1-page project proposal (plain email text). Jan 30-Feb 6: – Meet with me and select paper(s) for reviewing. – Demo for HW 1 Feb 15 week: –Project progress & related papers presentation Feb 27. HW2 –Then schedule second meeting with me on HW2 and proj March 15 week or earlier: –Project demo/interview –Final project slides/report. Take-home exam. Problems based on class presentation/references/HW.
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17 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/290N13
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18 Class Computing Resource Triton supercomputer accounts: Week 2 (Jan 13).Get a class account in Triton by emailing your name, UCSB email, and ssh public key with subject "CS290N ssh key" to scc@oit.ucsb.edu. Instructions on generating ssh keys can be found in http://cs.ucsb.edu/~hnielsen/cs140/ssh- keypair.htmlscc@oit.ucsb.edu http://cs.ucsb.edu/~hnielsen/cs140/ssh- keypair.html 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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