course-details-portlet

TDT4215 - Recommender Systems

About

Examination arrangement

Examination arrangement: School exam
Grade: Letters

Evaluation Weighting Duration Grade deviation Examination aids
School exam 100/100 4 hours D

Course content

Content based and collaborative filtering methods. Similarity and prediction functions. Evaluation methods of recommender systems. 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

Content based and collaborative filtering methods. Evaluation methods of recommender systems. 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. Skills: Ability to pre-process/analyze unstructured web content, build a recommender system and evaluate the system. Ability to define ontologies that may be extended and reused by other peoples' applications. General competence: Students will learn how recommender systems work, how to use different methods to build and evaluate recommender systems, as well as how to analyse and use unstructured content in recommender systems.

Learning methods and activities

Lectures, exercises and group project. The course is taught in English.

Further on evaluation

The text for the written final exam will be in English. The candidates may choose to write their answers in either English or Norwegian. If there is a re-sit examination, the examination form may change from written to oral. In the case that the student receives an F/Fail as a final grade after both ordinary and re-sit exam, then the student must retake the course in its entirety. Submitted work that counts towards the final grade will also have to be retaken.

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 2022

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

Examination

Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Digital exam Room *
Spring ORD School exam 100/100 D 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"

More on examinations at NTNU