Information Retrieval and Information Filtering

Lectures:
24 h

Recommended for
Graduate Students. (Orienteringskurs C4).

The course was last given:
1995/96

Goals

The course goal is to give an introduction to information filtering techniques and the underlaying technology (statistics, collaboration, natural language understanding, learning). Hands on experience with a few existing systems will be included. The course will include an introduction to the WWW and its relevance and role in information retrieval.

After the course, students should have an understanding of existing information filtering techniques, their limitations and possibilities. They will also have some experience with a few systems.

Prerequisites
General knowledges of information systems.

Organization
A combination of lectures + seminars (prepared by the participants) + practical exercises.

Contents
Information Retrieval (IR)
Connection between IR and Information Filtering (IF)
Fundamentals of IF (Requirements)
Basic Approaches to IF (IR, collaboration, group reviews, rule based, agent oriented,
user modeling, natural language)
Email and news filtering systems
Machine learning of user preferences
Agents in IRIF
Privacy issues
WWW including agents for searching the net and WWW as interface to DB
Application areas

Literature
To be announced later.
Articles.

Teachers
Nahid Shahmehri.

Examiner
Nahid Shahmehri.

Schedule
October - November 1999.

Examination
Article presentation, laboratory Assignments and term paper.
Possibly a written exam on basics in IRIF.

Credit
4 + additional credits 2-4 for advanced project.

Comments
Level (for undergraduate students): D-level = Master's level.

Page responsible: Director of Graduate Studies