1 Information Retrieval and Advanced Internet Services 290N Class Introduction Tao Yang, 2015

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Presentation transcript:

1 Information Retrieval and Advanced Internet Services 290N Class Introduction Tao Yang,

2 Introduction Internet users  Interests/content  Importance of search engine traffic  Online advertisement Class Topics

Sales of PCs/Mobile Devices

Internet Users

Users’ interests in information search

More Mobil Search (2012 Survey)

Web Search Engine Market in USA (May 2014) Google: 67.6% Bing: 18.7% Yahoo: 10% Ask: 2.4% AOL: 1.3%

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]

Search Traffic is Important for Business

2012 Survey: Web Search Importance for Business

Online advertising market, Worldwide

12 Search query Ad

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.

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

15 Expected Work Tentatively Project 50%. Take-home exam 40%. 10% HW exercise. Timeline  Jan 29: 1-page project proposal (plain 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.

16 References Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze (MRS), Introduction to Information Retrieval, Cambridge University Press Christopher D. ManningPrabhakar Raghavan Hinrich Schütze Search Engines: Information Retrieval in Practice by Croft, Metzler, Strohman (CMS) Addison-Wesley, 2010 Selected papers

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).