Course Description
Web and media search is a research area that aims at answering user queries with the most relevant information. In this course we shall study how search applications compute relevant search results from a repository of Web and media content.
This course starts by dissecting a search engine and discusses the fundamental techniques currently used in Web and media search. Afterwards, the most relevant and active research topics shall be discussed throughout the semester: link-based ranking, recommendation algorithms, collaborative filtering, multimedia annotation, community discovery and user profiling.
Objectives
- Learn the concept of information relevance.
- Analyse text, Web and multimedia data.
- Learn how to rank information by relevance.
- Design search evaluation experiments.
- Understand the state-of-the-art challenges in IR.
Grading
Exam (50%) + lab work (10%) + project (40%).
Lecturers
Joao Magalhaes (jmag@di.xfct.unlx.pt - remove 'x's to mail us)Nuno Correia (nmc@di.xfct.unlx.pt - remove 'x's to mail us)