8
Information Retrieval CENG 555 Spring 2011-2012

Information Retrieval CENG 555

  • Upload
    camdyn

  • View
    36

  • Download
    5

Embed Size (px)

DESCRIPTION

Information Retrieval CENG 555. Spring 2011-2012. Course Web Page. Authoritative source of administrivia In-class announcements generally reflected on Web page http://academic.cankaya.edu.tr/~agorur Syllabus , policies Announcements Handouts Due dates. Educational approach. - PowerPoint PPT Presentation

Citation preview

Page 1: Information  Retrieval CENG 555

Information RetrievalCENG 555

Spring 2011-2012

Page 2: Information  Retrieval CENG 555

Course Web Page

Authoritative source of administrivia• In-class announcements generally reflected on

Web page• http://academic.cankaya.edu.tr/~agorur• Syllabus, policies• Announcements• Handouts• Due dates

Page 3: Information  Retrieval CENG 555

Educational approach

Will be between a • lecture, • seminar, and • laboratory(coding projects)

Page 4: Information  Retrieval CENG 555

Objectives of the Course

• a basic theoretical understanding of IR– Representing and indexing text – Retrieval models – Implementing querying efficiently

• major application areas and recent research topics in IR

• evaluation of IR systems.

Page 5: Information  Retrieval CENG 555

Grading

• Homework (20%)• Research Project(s) (30%)• Seminar(s) (25%)• Final (25%)

Page 6: Information  Retrieval CENG 555

Homeworks

Every homework will be submitted as a technical report.

• practical and theoretical concepts• four or five in number – 20% of grade

Page 7: Information  Retrieval CENG 555

Research Project

Aim is to research and develop an idea or area you would like to explore in depth;Deliverables include• Written report• Presentation

Page 8: Information  Retrieval CENG 555

Information Retrieval• Field concerned with the organization, storage, and retrieval of

information – Especially text – Also retrieval of semi- structured data (XML), video images, speech, music

• Requires algorithms and data structures – For manipulating natural language – To efficiently store and process data

• Related fields – Natural Language Processing, – Library Science – Computational Linguistics– Digital Libraries