Ensimag Rubrique Formation 2022

Information Access and Retrieval - WMM533U

  • Number of hours

    • Lectures 18.0
    • Tutorials 18.0

    ECTS

    ECTS 6.0

Goal(s)

The domain of information access encompasses several applications pertaining to categorization, clustering or information retrieval. The goal of this module is to present models and algorithms used in these frameworks, and is intended to students willing to use or develop tools for data mining, machine learning and information retrieval.

Contact Eric GAUSSIER

Content(s)

This course addresses advanced aspects of information access and retrieval, focusing on several points: models (probabilistic, vector-space and logical), multimedia indexing, web information retrieval, and their links with machine learning. These last parts provide opportunities to present the processing of large amount of partially structured data. Each part is illustrated on examples associated with different applications.

1. Introduction to information retrieval: models and evaluation (12h)
a. Vector-space, logical and probabilistic models
b. Relevance feedback
c. Evaluating IR systems

2. Information access and machine learning (9h)
a. What Google, Yahoo and Microsoft do: reformulating the IR problem
b. Classification and learning to rank
c. Modelling information in social networks

3. Web information retrieval (6h)
a. Models and algorithms (PageRank, HITS)
b. Distribution of information
c. Practical aspects

4. Video and image analysis (9h)
a. Features: colours, texture, forms, interest points
b. Indexing with concepts
c. Image sequences: movement, segmentation, tracking
d. Multimodal fusion: image, audio and text indexing



Prerequisites

Basic mathematical and computer science knowledge

Test

The exam is given in english only 

The course will be evaluated through the final, written exam.



Additional Information

This course is given in english only EN

Bibliography

[1] "Modern Information Retrieval", R. Baeza-Yates, B. Ribeiro-Neto, Addison-Wesley, 1999.
[2] "Apprentissage artificiel : concepts et algorithmes", A. Cornuéjols, L. Miclet, Y. Kodratoff. Eyrolles, 2002.
[3] ACM Transactions on Information Systems, Vol. 22, Issue 1, Jan. 2004. Special Issue on Recommender Systems.
[4] "Mining the Web", S. Chakrabarti, Morgan-Kaufmann, 2002.
[5] Cees G.M. Snoek and Marcel Worring, Multimodal Video Indexing: A Review of the
State-of-the-art. Multimedia Tools and Applications, 25(1):5-35, January 2005.
http://staff.science.uva.nl/~cgmsnoek/pub/mmta.pdf.
[6] "Introduction to Information Retrieval", Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze. Cambridge University Press, 2008.
http://www-csli.stanford.edu/~hinrich/information-retrieval-book.html