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start [2016/10/24 08:53]
mrim
start [2016/12/19 16:21] (current)
quenot
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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]] +
- +
-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). +
- +
-Contact: [[mailto:​Georges.Quenot@imag.fr"​|Georges.Quenot@imag.fr]] +
- +
-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. +
- +
-Part II: Web and social networks (Philippe Mulhem) +
-  * Course 5: {{ :web_ir.pdf |Web information retrieval}} and IR evaluation ({{ :web_ir.pdf |general}} and {{ ::​ir_heuristics_-_mosig.pdf |axiomatic}}). +
-  * Course 6: Social networks and information retrieval. +
-  * Course 7: Personalized and mobile information retrieval. +
-  * Course 8: Recommender systems. +
- +
-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. +
- +
- +
-Reference to IR books or papers +
-  * [[http://​nlp.stanford.edu/​IR-book/​|Introduction to Information Retrieval, http://​nlp.stanford.edu/​IR-book/​]] +
-  * [[https://​ciir.cs.umass.edu/​irbook/​|Search Engines Information Retrieval in Practice, https://​ciir.cs.umass.edu/​irbook/​]]+
start.1477291984.txt.gz · Last modified: 2016/10/24 08:53 by mrim