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- | ====== GINF533U - Information Access and Retrieval ====== | + | **The GINF533U site has been moved.** \\ |
- | + | Please now access it via: [[https://ginf533u.imag.fr|https://ginf533u.imag.fr]] \\ | |
- | Available from Master 2 [[http://mosig.imag.fr/ProgramEn/M2S1|MOSIG]] | + | You can safely ignore the certificate error message and validate the exception (for this site). |
- | and [[https://iam.imag.fr/m2tracks#data_science_ds|MSIAM]]. [[http://ufrima.imag.fr/ue/WebFormation/ue.php?code=GINF533U&ismat=&lang=en|Course Description]] | + | |
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- | This course is given by [[http://mrim.imag.fr/User/jean-pierre.chevallet/|Jean-Pierre Chevallet]], [[http://lig-membres.imag.fr/mulhem/|Philippe Mulhem]] and [[http://lig-membres.imag.fr/quenot/|Georges Quénot]] from the [[http://lig-mrim.imag.fr/|Multimedia Information Modeling and Retrieval]] (MRIM) research group of the [[https://www.liglab.fr/en|Grenoble Informatics Laboratory]] (LIG). | + | |
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- | Contact: [[mailto:Georges.Quenot@imag.fr"|Georges.Quenot@imag.fr]] | + | |
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- | Part I. Foundations of Information Retrieval (Jean-Pierre Chevallet) | + | |
- | * Course 1: {{ ::m2r_mosig_iar_2016_chapter_01_information_retrieval_basics.pdf |Information retrieval basics.}} | + | |
- | * Course 2: {{ ::m2r_mosig_iar_chapter_02_classical_models_for_information_retrieval.pdf |Classical models for information retrieval.}} | + | |
- | * Course 3: {{ ::probabilistic_information_retrieval.pdf |Probabilistic IR Models}} | + | |
- | * Course 4: Natural language processing for information retrieval, Theoretical models for information retrieval. | + | |
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- | Part II: Web and social networks (Philippe Mulhem) | + | |
- | * Course 5: Web information retrieval and evaluation. | + | |
- | * Course 6: Social networks and information retrieval. | + | |
- | * Course 7: Personalized and mobile information retrieval. | + | |
- | * Course 8: Recommender systems. | + | |
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- | Part III: Multimedia indexing and retrieval (Georges Quénot) | + | |
- | * Course 9: Visual content representation and retrieval. | + | |
- | * Course 10: Classical machine Learning for multimedia indexing. | + | |
- | * Course 11: Deep learning for information retrieval. | + | |
- | * Course 12: Deep learning for multimedia indexing and retrieval. | + |