623.610 (21S) Information Search & Recommendation Systems
Overview
Due to the COVID-19 pandemic, it may be necessary to make changes to courses and examinations at short notice (e.g. cancellation of attendance-based courses and switching to online examinations).
For further information regarding teaching on campus, please visit: https://www.aau.at/en/corona.
For further information regarding teaching on campus, please visit: https://www.aau.at/en/corona.
- Lecturer
- Course title german Information Search & Recommendation Systems
- Type Lecture - Course (continuous assessment course )
- Course model Online course
- Hours per Week 2.0
- ECTS credits 4.0
- Registrations 21 (30 max.)
- Organisational unit
- Language of instruction English
- Course begins on 02.03.2021
- eLearning Go to Moodle course
Time and place
Please note that the currently displayed dates may be subject to change due to COVID-19 measures.
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Course Information
Intended learning outcomes
After the course, students are able to
- Explain the main goals of recommender systems,
- describe the main technical approaches to build such systems,
- evaluate recommender systems,
- build simple recommender systems.
Teaching methodology including the use of eLearning tools
Mix of lecture and practical exercises (including programming)
Course content
Recommender Systems
- Collaborative Filtering, Content-based Filtering, Knowledge-based Approaches
- Evaluation of Recommender Systems
Programming in Python
- Programming of simple recommendation strategies
Prior knowledge expected
Basic programming skills
Literature
Jannach et al.: Recommender Systems - An Introduction, Cambridge 2010
Ricci et al.: Recommender Systems Handbook, Springer 2015
Examination information
Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.
Modified examination information (exceptional COVID-19 provisions)
In the case that a written exam is not possible at the university due to the Covid Situtation, a change will be made to an online exam or oral exam.
Examination methodology
Submission of small software projects during the semester
Written exam at the end of the semester
Examination topic(s)
Basics of recommender systems
Assessment criteria / Standards of assessment for examinations
Written exam, quality of submitted software projects
Grading scheme
Grade / Grade grading schemePosition in the curriculum
- Master's degree programme Applied Informatics
(SKZ: 911, Version: 13W.1)
-
Subject: Knowledge and Data Engineering
(Compulsory elective)
-
Information Search & Recommendation Systems (
2.0h VK / 4.0 ECTS)
- 623.610 Information Search & Recommendation Systems (2.0h VC / 4.0 ECTS)
-
Information Search & Recommendation Systems (
2.0h VK / 4.0 ECTS)
-
Subject: Knowledge and Data Engineering
(Compulsory elective)
- Master's degree programme Informatics
(SKZ: 911, Version: 19W.2)
-
Subject: Business Information Systems
(Compulsory elective)
-
Weitere LVen aus dem gewählten Spezialisierungsfach (
0.0h XX / 12.0 ECTS)
- 623.610 Information Search & Recommendation Systems (2.0h VC / 4.0 ECTS) Absolvierung im 1., 2. Semester empfohlen
-
Weitere LVen aus dem gewählten Spezialisierungsfach (
0.0h XX / 12.0 ECTS)
-
Subject: Business Information Systems
(Compulsory elective)
- Master's degree programme Information Management
(SKZ: 922, Version: 19W.1)
-
Subject: Information Systems
(Compulsory subject)
-
2.2 Decision Support Systems (
0.0h VC / 4.0 ECTS)
- 623.610 Information Search & Recommendation Systems (2.0h VC / 4.0 ECTS) Absolvierung im 1., 2., 3. Semester empfohlen
-
2.2 Decision Support Systems (
0.0h VC / 4.0 ECTS)
-
Subject: Information Systems
(Compulsory subject)
- Master's degree programme Information Management
(SKZ: 922, Version: 13W.2)
-
Subject: Informationssysteme
(Compulsory subject)
-
2.3 Information Search & Recommendation Systems (
2.0h VC/KS / 4.0 ECTS)
- 623.610 Information Search & Recommendation Systems (2.0h VC / 4.0 ECTS)
-
2.3 Information Search & Recommendation Systems (
2.0h VC/KS / 4.0 ECTS)
-
Subject: Informationssysteme
(Compulsory subject)
- Master's degree programme Technical Mathematics
(SKZ: 401, Version: 13W.1)
-
Subject: Informatik
(Compulsory elective)
-
Recommender Systems (
2.0h VK / 4.0 ECTS)
- 623.610 Information Search & Recommendation Systems (2.0h VC / 4.0 ECTS)
-
Recommender Systems (
2.0h VK / 4.0 ECTS)
-
Subject: Informatik
(Compulsory elective)
Equivalent courses for counting the examination attempts
-
Sommersemester 2024
- 623.610 VC Information Search & Recommendation Systems (2.0h / 4.0ECTS)
-
Sommersemester 2023
- 623.610 VC Information Search & Recommendation Systems (2.0h / 4.0ECTS)
-
Sommersemester 2022
- 623.610 VC Information Search & Recommendation Systems (2.0h / 4.0ECTS)
-
Wintersemester 2021/22
- 623.610 VC Information Search & Recommendation Systems (2.0h / 4.0ECTS)
-
Sommersemester 2020
- 623.610 VC Information Search & Recommendation Systems (2.0h / 4.0ECTS)
-
Sommersemester 2019
- 623.610 VC Recommender Systems (2.0h / 4.0ECTS)
-
Sommersemester 2017
- 623.610 VC Recommender Systems (2.0h / 4.0ECTS)
-
Sommersemester 2016
- 623.610 VC Recommender Systems (2.0h / 4.0ECTS)
-
Wintersemester 2015/16
- 623.610 VC Information Search & Recommendation Systems (2.0h / 4.0ECTS)
-
Sommersemester 2015
- 623.610 VK Recommender Systems (2.0h / 4.0ECTS)
-
Wintersemester 2014/15
- 623.610 VK Information Search & Recommendation Systems (2.0h / 4.0ECTS)
-
Sommersemester 2014
- 623.610 VK Information Search & Recommendation Systems (2.0h / 4.0ECTS)