Information Retrieval and Advanced Internet Services - PowerPoint PPT Presentation

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Information Retrieval and Advanced Internet Services

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Title: Ask.com PowerPoint Presentation Author: Tao Yang Last modified by: Tao Yang Created Date: 2/22/2006 8:20:43 PM Document presentation format – PowerPoint PPT presentation

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Title: Information Retrieval and Advanced Internet Services


1
Information Retrieval and Advanced Internet
Services
  • 290N Class Introduction
  • Tao Yang, 2015
  • http//www.cs.ucsb.edu/tyang/class/290N15/

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

3
Sales of PCs/Mobile Devices
http//www.businessinsider.com/the-future-of-mobil
e-deck-2012-3?op1
4
Internet Users
5
Users interests in information search
6
More Mobil Search (2012 Survey)
7
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
Ramakrishnan and Tomkins 2007
  • Content consumption is fragmenting nobody owns
    more than 10 of WWW pageviews
  • No single place will own all the content

9
Search Traffic is Important for Business
10
2012 Survey Web Search Importance for Business
11
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 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.

16
References
  • Christopher D. Manning, Prabhakar Raghavan and
    Hinrich Schütze (MRS), Introduction to
    Information Retrieval, Cambridge University
    Press. 2008.
  • Search Engines Information Retrieval in Practice
    by
  • Croft, Metzler, Strohman (CMS)
  • Addison-Wesley, 2010
  • Selected papers
  • www.cs.ucsb.edu/tyang/class/290N15

17
Class Computing Resource Info
  • Triton supercomputer accounts
  • CSIL sandbox disk space
  • /cs/sandbox/class/cs290n
  • /cs/sandbox/student/ltusernamegt
  • 290N class discussion group at Google.com (we
    will send an invitation based on the class list).
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