Hasso-Plattner-Institut25 Jahre HPI
Hasso-Plattner-Institut25 Jahre HPI
 

Information Retrieval (Sommersemester 2014)

Dozent: Prof. Dr. Felix Naumann (Information Systems) , Prof. Dr. Ralf Krestel (Information Systems)

Allgemeine Information

  • Semesterwochenstunden: 2
  • ECTS: 3
  • Benotet: Ja
  • Einschreibefrist: 1.4.2014 - 28.4.2014
  • Lehrform: VU
  • Belegungsart: Wahlpflichtmodul

Studiengänge, Modulgruppen & Module

IT-Systems Engineering BA

Beschreibung

This lecture will highlight some of the main IR blocks: indexing, retrieval models and evaluation, web search, and link analysis.

Voraussetzungen

The lecture is for Master students. In order to be an active participant in the lecture, we recommend a sufficient background in Databases, Data Structures, and Algorithms.

Literatur

The lecture is based on these books available in the university library.

 

Christopher D. Manning, Prabhakar Raghavan, Heinrich Schütze:

Introduction to Information Retrieval</p> <p style="font: 12px/normal Verdana, sans-serif; color: rgb(0, 0, 0); text-transform: none; text-indent: 0px; letter-spacing: normal; word-spacing: 0px; white-space: normal; orphans: 2; widows: 2; font-size-adjust: none; font-stretch: normal; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; ">W. Bruce Croft, Donald Metzler, and Trevor Strohman: Search Engines: <link />Information Retrieval in Practice</p>

Lern- und Lehrformen

This is a lecture with homework assignments including programming your own search engine in Java.

Leistungserfassung

  • 30% Midterm exam
  • 70% Final exam
  • A requirement for participation in the final exam is the completion of all homework assignments on time

Termine

Mondays: 15:15 to 16:45 in HS 2

DateTopic
7.4.14Introduction, Architecture
10.4.14Indexing 16:00 (after student assembly)
14.4.14Cancelled
21.4.14Public Holiday
28.4.14Retrieval Models I
5.5.14Retrieval Models II
12.5.14Querying
19.5.14Evaluation
26.5.14Midterm Exam
2.6.14Web Search
9.6.14Public Holiday
16.6.14Crawling
23.6.14Link Analysis
30.6.14Implementation
7.7.14Social Search
14.7.14Recap and Q&A
21.7.14Exam 14:00 - 16:00 HS 1+2

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