Web Data Mining and Search (2021/2022) - Departamento de Informática
Description
Syllabus

0. Course presentation
1. Web document categorization
2.Visual information search
3.Word-image embeddings
4.Indexing
5.Attention mechanism
6.Joint vision-and-language models
7.Summarization
8.Conversational assistants
9.Multimodal Knowledge Dialog Systems
10.Recommendation

There will be aninvited lecture besides the regular classes.

Bibliography

Jure Leskovec, Anand Rajaraman, Jeff Ullman, “Mining of Massive Datasets”, Cambridge University Press, 2011.
http://www.mmds.org/

Aston Zhang, Zachary Lipton, Mu Li, and Alex Smola, “Dive into Deep Learning”
http://d2l.ai/

Student work
  Hours per credit 28
  Hours per week Weeks Hours
Aulas práticas e laboratoriais   24.0
Aulas teóricas   24.0
Avaliação   2.0
Self study   24.0
Project   94.0
Total hours 168
ECTS 6.0