====== GBX9MO23 - Information Access and Retrieval ======

Available from Master 2 [[http://mosig.imag.fr/ProgramEn/M2S1|MOSIG]]
and [[https://iam.imag.fr/m2tracks#data_science_ds|MSIAM]].
[[http://formations.univ-grenoble-alpes.fr/en/catalog/master-s-degree-XB/sciences-technologies-and-health-STS/master-in-computer-science-program-program1-master-informatique-en/master-of-science-in-informatics-at-grenoble-mosig-subprogram-subprogram-master-of-science-in-informatics-at-grenoble-mosig-en/ue-information-access-and-retrieval-IGDF9Z8M.html|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]],
[[http://mrim.imag.fr/User/lorraine.goeuriot/|Lorraine Goeuriot]] 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]]

Contents / schedule (might be updated):

Part I. Foundations of Information Retrieval (Jean-Pierre Chevallet)
  * Course 1: {{m2r_mosig_ira_chapter_01_information_retrieval_basics.pdf|Information retrieval basics}} (J.-P. Chevallet).
  * Course 2: {{m2r_mosig_iar_chapter_02_classical_models_for_information_retrieval.pdf|Classical models for information retrieval}} (J.-P. Chevallet).
  * Course 3: {{m2r_mosig_iar_chapter_03_probabilistic_information_retrieval.pdf|Probabilistic IR Models}} (J.-P. Chevallet).
  * Course 4: {{m2r_mosig_iar_natural_language_processing_for_information_retrieval.pdf|Natural language processing for information retrieval}} **(NB: not presented this year)** (J.-P. Chevallet).

Part II: Web, social networks and health (Philippe Mulhem, Lorraine Goeuriot)
  * Course 5: {{:web_ir.pdf|Web information retrieval}} (P. Mulhem).
  * Course 6: {{::evaluation_of_information_retrieval_-_mosig.pdf|IR evaluation}} (L. Goeuriot / P. Mulhem).
  * Course 7: {{::personnalization-social.pdf|Personalization and social information retrieval}} (P. Mulhem).
  * Course 8: {{::medical-ir2019.pdf|Medical information retrieval}} (L. Goeuriot).

Part III: Multimedia indexing and retrieval (Georges Quénot)
  * Mathematics Reminders: {{:mathematics_reminders.pdf |Linear algebra and convolutions}} (differential calculus and "conv. layers" in course 11-12) (G. Quénot).
  * Course 9: {{:m2-mosig-iar-9.pdf|Visual content representation and retrieval}} (only introduction and color / texture / points of interest descriptors) (G. Quénot).
  * Course 10: {{:m2-mosig-iar-10.pdf|Classical machine Learning for multimedia indexing}} (part on LSH is excluded) (G. Quénot).
  * Course 11-12: {{:m2-mosig-iar-11-12.pdf|Deep learning for multimedia indexing and retrieval}} (G. Quénot).

<!-- **Warning:** the course contents currently online are those of last year, all of them are expected to be updated, possibly significantly for some of them. We recommend that you do not print them for now. -->


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/]]

===== First session examination =====

<!--The examination will be on **January 28, 2019 from 1 to 3pm in ENSIMAG C005**. **Warning: the time has been advanced and the room has changed (see ADE).**-->
Course materials, the two papers related to the examinations, personal notes, and calculators (without network capabilities) are allowed. 


You will have to answer questions on topics that occur in the lessons. 
You are expected to do a research work on the two papers proposed below, in a way to understand them and to be able to comment then.
You must also take time to read complementary informations in order to understand the papers. 
<!-- The first topic is related to IR text data structure and models. The second one is related to building good representation for content-based image retrieval. -->
**Be sure to bring with you a copy of the two research papers as they will NOT be redistributed with the examination subject.** These can be annotated by you. The bibliography and appendices, if any, are part of the papers.

Jianfeng Dong, Xirong Li, Chaoxi Xu, Shouling Ji, Yuan He, Gang Yang, Xun Wang, \\ Dual Encoding for Zero-Example Video Retrieval, \\ The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 9346-9355. \\ [[http://openaccess.thecvf.com/content_CVPR_2019/papers/Dong_Dual_Encoding_for_Zero-Example_Video_Retrieval_CVPR_2019_paper.pdf]]

Hamed Zamani, Mostafa Dehghani, W. Bruce Croft, Erik Learned-Miller, and Jaap Kamps. 2018. From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. 
\\ In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM '18). ACM, New York, NY, USA, 497-506. \\ [[https://ciir-publications.cs.umass.edu/pub/web/getpdf.php?id=1302]]\\
**Important Notice**: For the second paper, you are expected to gather information about word embeddings on your own, in a way to understand the paper and to answer to the questions that will be asked.


<!--  * "BitFunnel: Revisiting Signatures for Search" [[https://danluu.com/bitfunnel-sigir.pdf]] or [[https://dl.acm.org/citation.cfm?doid=3077136.3080789]] from Bob Goodwin, Michael Hopcroft, Dan Luu, Alex Clemmer, Mihaela Curmei, Sameh Elnikety and Yuxiong He, in the Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval.
  * "Deep Image Retrieval: Learning global representations for image search" [[https://arxiv.org/pdf/1604.01325]] from Albert Gordo, Jon Almazan, Jerome Revaud, Diane Larlus, ECCV 2016.

Note: for the second paper, the part on automatic data cleaning is not concerned, there will not be questions on this.-->

==== Previous years examinations ====

2017-2018 examination: {{ :gbx9mo23-2017-2018-exam.pdf |}}, papers: \\
https://www.researchgate.net/publication/305081616_A_Simple_Enhancement_for_Ad-hoc_Information_Retrieval_via_Topic_Modelling, \\
[[http://www.tyr.unlu.edu.ar/tallerIR/2014/papers/novel-tfidf.pdf]], \\
[[http://openaccess.thecvf.com/content_cvpr_2017/papers/Huang_Densely_Connected_Convolutional_CVPR_2017_paper.pdf]]

2018-2019 examination: {{ :gbx9mo23-2018-2019-exam.pdf |}}, papers: \\
[[https://danluu.com/bitfunnel-sigir.pdf]], \\
[[https://arxiv.org/pdf/1604.01325]].
===== Second session examination =====

<!-- The second session examination will take place on April 16, from 9am to 11am in rooms D208 and D211 (ENSIMAG building). \\
It will be an oral examination of 30 minutes in total, 15 minutes with Georges Quénot (D208) and 15 minutes with Jean-Pierre Chevallet (D211). \\
There is no new papers to study for this sessions. There will be short exercises and questions on the course and maybe some on the papers studied for session 1 examination. -->

No information yet.

===== Internship projects proposed by the MRIM team =====

  * [[http://im2ag-pcarre.e.ujf-grenoble.fr/CDExportProjetHtml?idSujet=2651|Integrating reasoning in deep learning explanations]] (Georges Quénot and Marie-Christine Rousset)
  * [[http://im2ag-pcarre.e.ujf-grenoble.fr/CDExportProjetHtml?idSujet=2652|Interactive Information Retrieval Systems Evaluation though Synthetic Users]] (Philippe Mulhem and Francis Jambon)
  * [[http://im2ag-pcarre.e.ujf-grenoble.fr/CDExportProjetHtml?idSujet=2718|Justification of Deep Video Retrieval Results]] (Georges Quénot and Philippe Mulhem)
  * [[http://im2ag-pcarre.e.ujf-grenoble.fr/CDExportProjetHtml?idSujet=2632|Multidimensional representation of medical heterogeneous data using neural networks]] (Lorraine Goeuriot and Didier Schwab)
  * [[http://im2ag-pcarre.e.ujf-grenoble.fr/CDExportProjetHtml?idSujet=2717|Neural Deep Transformers and Sparse Representations for Inverted Indexing]] (Jean-Pierre Chevallet and Didier Schwab)
  * [[http://im2ag-pcarre.e.ujf-grenoble.fr/CDExportProjetHtml?idSujet=2631|Prediction of patient's re-access to the healthcare system]] (Lorraine Goeuriot and Didier Schwab)
  * [[http://im2ag-pcarre.e.ujf-grenoble.fr/CDExportProjetHtml?idSujet=2633|Quantitative Data Analysis for Information Retrieval Evaluation]] (Lorraine Goeuriot and Philippe Mulhem)
  * [[http://im2ag-pcarre.e.ujf-grenoble.fr/CDExportProjetHtml?idSujet=2643|Toward explainable embeddings-based and Pseudo relevance Feedback query expansions in Information Retrieval]] (Philippe Mulhem, Jean-Pierre Chevallet and Catherine Berrut)
  * [[http://im2ag-pcarre.e.ujf-grenoble.fr/CDExportProjetHtml?idSujet=2634|Web search engine biases]](Philippe Mulhem, Lydie Du-Bousquet and Lorraine Goeuriot)


<!-- [[2018-2019 page]] -->