course-details-portlet

TDT4215 - Recommender Systems

About

Examination arrangement

Examination arrangement: Home examination
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
Home examination 100/100

Course content

Knowledge management in web-based applications. Semantic Web and ontologies. Open linked data for sharing and collaboration. Linguistic and statistical techniques for text mining and content analysis. Semantic recommender systems.

Learning outcome

Kunnskaper: Basic techniques and semantic languages for engineering ontologies and open linked data. RDF(S) and OWL. SPARQL query language. POS/NER tagging, sentiment analysis and other content analysis techniques. Content-based recommender systems.

Skills: Ability to use semantic technologies and open linked data to analyze unstructured web content and build semantic recommender systems and other intelligent solutions. Ability to define ontologies that may be extended and reused by other peoples' applications.

General competence: Students will learn how semantics and open data are used to extract, represent and provide knowledge on the web, as well as how they can be used in intelligent applications.

Learning methods and activities

Lectures and exercises. The course may be taught in English if taken by students without Norwegian language skills.

Compulsory assignments

  • Obliagatorisk gruppeprosjekt

Further on evaluation

Due to the Covid-19 situation, the assessment form has been changed for spring 2021. See the course description in Norwegian for more information.

Specific conditions

Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.

Course materials

Announced at start of semester.

Credit reductions

Course code Reduction From To
TDT4215 3.7 01.09.2011
TDT4215 3.7 01.09.2011
More on the course

Facts

Version: 3
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  SPRING 2021

No.of lecture hours: 3
Lab hours: 2
No.of specialization hours: 7

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Informatics
  • Technological subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Computer Science

Phone:

Timetable

List view
Calendar view

Examination

Examination arrangement: Home examination

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Summer UTS Home examination 100/100 INSPERA
Room Building Number of candidates
Spring ORD Home examination 100/100

Release 2021-06-04

Submission 2021-06-04

Release 09:00

Submission 13:00

INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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