Course - Recommender Systems - TDT4215
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.
Recommended previous knowledge
Course TDT4145 Data modelling and database systems, or equivalent.
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 |
Version: 3
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: SPRING 2022
Language of instruction: English
Location: Trondheim
- Informatics
- Technological subjects
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.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"