Web Search

Objectives

Knowledge:
- Understand the concept of error in information representation.
- Understand Web and multimedia representation models.
- Analyze Web and multimedia data for information extraction.
- Understand Web and multimedia information access paradigms.

Know-how:
- Implement Web and multimedia information representation algorithms.
- Implement Web and media information annotation algorithms.
- Develop Web and multimedia information access systems.
- Understand domain specific information needs.

Soft-Skills:
- Design Web and multimodal information retrieval systems.
- Select the right techniques do solve problems dealing with multimodal information.
- Be able to design experimental protocols and analyze experimental results.

General characterization

Code

11561

Credits

6.0

Responsible teacher

João Miguel da Costa Magalhães

Hours

Weekly - 4

Total - Available soon

Teaching language

Português

Prerequisites

Available soon

Bibliography

[1] Bing Liu, “Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data”, 2013
[2] Mathias Lux, Oge Marques, “Visual Information Retrieval using Java and LIRE”, 2013
[3] Rick Szeliski , “Computer Vision: Algorithms and Applications”, 2013

Teaching method

Available soon

Evaluation method

Available soon

Subject matter

1. Introduction
2. Social-media data representations
3. Social-networks analysis
4. Multimodal information extraction
5. Learning to rank
6. Case study
7. Distributed representations of words
8. Multimodal embeddings
9. Tagging social-media information
10. Near-duplicate detection
11. Browsing similar documents

Programs

Programs where the course is taught: