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Course module: 800831-B-6
800831-B-6
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Course info
Course module800831-B-6
Credits (ECTS)6
CategoryBA (Bachelor)
Course typeCourse
Language of instructionEnglish
Offered byTilburg University; Tilburg School of Humanities and Digital Sciences; TSH: Department Cognitive Science and AI; TSH: Department Cognitive Science and AI;
Is part of
B Communication and Information Sciences
B Communication and Information Sciences (Spc.Cog.Sc & AI)
B Cognitive Science and Artificial Intelligence
PM Communication- and Information Sciences
PM CIW: DSBG, CSAI
Contact persondr. M.M. van Zaanen
Lecturer(s)
Lecturer
dr. M. Postma
Other course modules lecturer
Coordinator course
dr. M.M. van Zaanen
Other course modules lecturer
Academic year2018
Starting block
SM 2
Course mode
Full-time
RemarksThis information is not up to date. Check the Course Catalog 2019 or select the course via “Register”.
Registration openfrom 14/01/2019 up to and including 31/07/2019
Aims
At the end of the unit, students will be able to:

* describe the components of information retrieval systems, including the ordering, storage and searching of the data, explain how they can be implemented, and perform the internal computations;
* describe search systems that focus on web search, experts and expertise, answering questions, social information (such as social tagging), and different modalities (such as images and music) and analyze the interaction between their components;
* describe, apply and compare current approaches to the evaluation of the information retrieval tasks discussed during the lectures (including the corresponding evaluation measures) and identify pros and cons of each approach.
 
Content
Search engines are a crucial part of the world wide web. These search engines make content accessible and satisfy the information needs of millions of users every day by matching these needs to documents, videos, social media and other types of information available. It is no surprise that search engines have become big business and have spawned all kinds of marketing and advertising industries. 

Recommender systems take this search process one step further by actively recommending interesting items to people. They guide people based on information from other people. The information that other people provide may come from explicit ratings, tags, or reviews, or implicitly from how they spend their time or money. The information can be aggregated and used to select, filter, or sort items and the recommendations may be personalized to the preferences of different users. Companies such as Amazon, Netflix and other web stores make extensive use of recommender systems to sell items to their customers.

Another development is the increasing popularity of question answering systems, such as Apple's Siri, that deliver answers and services based on user questions in natural language. This enables easier use of search and recommendation technologies on for instance mobile devices.

In this course, students will become familiar with the workings of information retrieval, search engines, recommender systems, question answering systems and other applications of this technology. 

Topics treated:
* information retrieval models
* search engines
* web indexing
* multimedia retrieval & other retrieval tasks
* question-answering systems
* recommender systems
* social tagging
* evaluation of information retrieval

Specifics

The final grade is calculated based on the grade for the written exam (80%) and two individual assignments (10% each). Assignments have non-negotiable deadlines. Assignments handed in after the deadline will not be accepted and will lead to a fail for the course.

 
Timetable information
800831-B-6|Information Search
Written test opportunities
Omschrijving/DescriptionToets/TestBlok/BlockGelegenheid/OpportunityDatum/Date
Written test opportunities (HIST)
Omschrijving/DescriptionToets/TestBlok/BlockGelegenheid/OpportunityDatum/Date
Schriftelijk (80%) / Written (80%)EXAM_01SM 2105-06-2019
Schriftelijk (80%) / Written (80%)EXAM_01SM 2226-06-2019
Required materials
Literature
https://nlp.stanford.edu/IR-book/pdf/irbookonlinereading.pdf
ISBN:9780521865715
Title:Introduction to Information Retrieval
Author:Christopher D. Manning, Prabhakar Raghavan, Hinrich Schutze
Publisher:Cambridge University Press
Recommended materials
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Tests
Written (80%)

Final Grade

Assignments (20%)

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