Course Content:
- Basic IR Models (boolean, vector-based, probabilistic); Basic Indexing Techniques; Term Weighting and Scoring
- Web Search
- Relevance Feedback and Query Expansion
- Semantic Search
- Information Seeking Paradigms
- Evaluation of information retrieval systems
Learning Outcomes:
At the completion of this course, students will be able to:
- Describe the different information retrieval models, and to compare their weaknesses and strengths. [Learning Objective 1]
- Compare the weaknesses and strengths of different indexing techniques, describing their most suited applications trough meaningful examples. [Learning Objective 2]
- Compare the weaknesses and strengths of different querying techniques, describing their most suited applications trough meaningful examples. [Learning Objective 3]
- Analyse the performance of an Information Retrieval system by applying the proper evaluation measures. [Learning Objective 4]
- Design and develop (Web) Information Retrieval systems, possibly using advanced social and se- mantic search functionalities. Support and defend the relevance and correctness of his/her choices with regards to the adopted information retrieval model, indexing technique, and querying tech- nique. [Learning Objective 5]
All detailed and official information about the course here >
