Web Data Mining and Search

Objectives

Available soon

General characterization

Code

12546

Credits

6.0

Responsible teacher

João Miguel da Costa Magalhães

Hours

Weekly - 4

Total - 48

Teaching language

Português

Prerequisites

Available soon

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/

Teaching method

Available soon

Evaluation method

Components:

45% project implementation
15% project presentation
40% test / exam / project discussion (student decision)

Each evaluation component is rounded to one decimal place.

Groups of 3 students

Additional rules:

Minimum grade on the labs or theory: 9
You may use one sided A4 sheet handwritten by you with your notes
It must be handed at the end of the test.

Subject matter

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 an invited lecture besides the regular classes.

Programs

Programs where the course is taught: