Web Searching and Ranging

2024/2025

Учебный год

ENG

Обучение ведется на английском языке

5

Кредиты

Кто читает:

Департамент информатики

Статус:

Курс обязательный

Когда читается:

Course Syllabus

Abstract

Discipline of the basic profile of the professional cycle. Students will receive basic web search algorithms, create their own web crawler, and evaluate the quality of the collected results. To master the discipline, students need knowledge gained as a result of studying the disciplines "Machine Learning", "Probability Theory and Mathematical Statistics".

Learning Objectives

• Formation of students' theoretical knowledge and practical skills of web search and data ranking.

Expected Learning Outcomes

• Knows the technology of evaluation of search quality.
• Able to collect data from web resources.
• Has skills of using direct ranking methods and methods of ranking using machine learning.

Course Contents

• Section 1. Assessment of the quality of information retrieval
• Section 2. Preparation of data for search, request processing
• Section 3. Classical approaches to ranging, application of semantic methods and machine learning
• Section 4. Federated search, click models

Assessment Elements

• Exam №1
  The oral exam is carried out in the form of answers to the questions of the exam ticket. The exam ticket contains two questions from the list of questions for the exam. 2.5 hours are given to prepare the answer.
• Course project №2
  As a course project, students will be required to implement a project that uses modern web search and ranking methods to solve applied task. Project completion time is 5 weeks.
• Course project №1
  As a course project, students will be required to implement a project that uses modern web search and ranking methods to solve applied task. Project completion time is 5 weeks.
• Exam №2
  The oral exam is carried out in the form of answers to the questions of the exam ticket. The exam ticket contains two questions from the list of questions for the exam. 2.5 hours are given to prepare the answer.

Interim Assessment

• 2024/2025 1st module
  0.5 * Course project №1 + 0.5 * Exam №1
• 2024/2025 2nd module
  0.5 * Course project №2 + 0.5 * Exam №2

Bibliography

Recommended Core Bibliography

• Gossen, T. (2015). Search Engines for Children : Search User Interfaces and Information-Seeking Behaviour. Wiesbaden: Springer Vieweg. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1159664
• Sándor Dominich. The Modern Algebra of Information Retrieval (2008), Springer

Recommended Additional Bibliography

• Advances in information retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014: proceedings. (2014). Springer. https://doi.org/10.1007/978-3-319-06028-6
• Hwee Tou Ng, Mun-Kew Leong, Min-Yen Kan, Donghong Ji. Information Retrieval Technology/Third Asia Information Retrieval Symposium, AIRS 2006, Singapore, October 16-18, 2006. Proceedings, 2006, Springer
• Levene, M. (2010). An Introduction to Search Engines and Web Navigation. Hoboken, N.J.: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=335281

Authors

• KUZNETSOV ANTON Mikhailovich
• Юдаева Оксана Юрьевна