Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Fall Semester
Year 2020 280170 Introduction to Information Retrieval 1 3.0 3 ★ Jenq-Haur Wang GCSIE
IEECSG 50 1 ◎

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2020	280170	Introduction to Information Retrieval	1	3.0	3	★	Jenq-Haur Wang	GCSIE IEECSG	50	1	◎

Course Plan：

Instructor Jenq-Haur Wang

Email jhwang@ntut.edu.tw

Last Updated 2020-06-12 16:04:51

Course Objective 網路搜尋引擎已經成為現代人日常生活必備的工具之一. 資訊檢索課程主要在探討, 如何有效的索引大量文件, 以快速搜尋使用者需要的相關資訊. 本課程將介紹資訊檢索的基本觀念, 文件與語言特性, 各種檢索模型, 檢索結果評估, 索引與搜尋, 文件分類分群, 網頁搜尋. 除了文字之外, 本課程也將探討各種多媒體檢索相關應用. Web search engine has become one of the necessary tools in modern lives. This course aims at investigating how to index large amount of text documents and search what users need in an effective way. We will introduce the basic concepts of information retrieval, characteristics of documents and languages, various retrieval models, evaluation of retrieval results, indexing and searching, text classification, text clustering, and Web search. In addition to texts, we will also introduce some applications of multimedia retrieval.

Course Schedule
(Week 1-16) Indexing (3 wks) Basic text modeling and evaluation (2-3 wks) Query processing and advanced models (2-3 wks) Machine learning in IR (2-3 wk) Web search (2-3 wks) Advanced topics: CLIR, IE, social Web, ... (2 wks) Term project presentation (3 wks)

Evaluation and grading policy Homework assignments and programming exercises: ~40% Mid-term exam: ~25-30% Term project and presentation: ~30-35%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Textbook: . Christopher D. Manning, Prabhakar Raghavan and Hinrich Schuetze, Introduction to Information Retrieval, Cambridge University Press. 2008. (available online at: http://www.informationretrieval.org/) References: . Ricardo Baeza-Yates and Berthier Ribeiro-Neto, Modern Information Retrieval: the concepts and technology behind search, 2nd ed. Addison-Wesley, 2011. . Bruce Croft, Donald Metzler, and Trevor Strohman, Search Engines: Information Retrieval in Practice, Addison-Wesley, 2010. . Stefan Buettcher, Charles L.A. Clarke, and Gordon V. Cormack, Information Retrieval: Implementing and Evaluating Search Engines, MIT Press, 2010. Prerequisite: . Basic knowledge of data structures and algorithms . Programming experience is necessary for homeworks & projects

The access to curricular consultation

Expanding teaching and resources

The course corresponds to the SDGs

Does the course incorporate AI

Note
　

Instructor	Jenq-Haur Wang
Email	jhwang@ntut.edu.tw
Last Updated	2020-06-12 16:04:51
Course Objective	網路搜尋引擎已經成為現代人日常生活必備的工具之一. 資訊檢索課程主要在探討, 如何有效的索引大量文件, 以快速搜尋使用者需要的相關資訊. 本課程將介紹資訊檢索的基本觀念, 文件與語言特性, 各種檢索模型, 檢索結果評估, 索引與搜尋, 文件分類分群, 網頁搜尋. 除了文字之外, 本課程也將探討各種多媒體檢索相關應用. Web search engine has become one of the necessary tools in modern lives. This course aims at investigating how to index large amount of text documents and search what users need in an effective way. We will introduce the basic concepts of information retrieval, characteristics of documents and languages, various retrieval models, evaluation of retrieval results, indexing and searching, text classification, text clustering, and Web search. In addition to texts, we will also introduce some applications of multimedia retrieval.
Course Schedule (Week 1-16)	Indexing (3 wks) Basic text modeling and evaluation (2-3 wks) Query processing and advanced models (2-3 wks) Machine learning in IR (2-3 wk) Web search (2-3 wks) Advanced topics: CLIR, IE, social Web, ... (2 wks) Term project presentation (3 wks)
Evaluation and grading policy	Homework assignments and programming exercises: ~40% Mid-term exam: ~25-30% Term project and presentation: ~30-35%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Textbook: . Christopher D. Manning, Prabhakar Raghavan and Hinrich Schuetze, Introduction to Information Retrieval, Cambridge University Press. 2008. (available online at: http://www.informationretrieval.org/) References: . Ricardo Baeza-Yates and Berthier Ribeiro-Neto, Modern Information Retrieval: the concepts and technology behind search, 2nd ed. Addison-Wesley, 2011. . Bruce Croft, Donald Metzler, and Trevor Strohman, Search Engines: Information Retrieval in Practice, Addison-Wesley, 2010. . Stefan Buettcher, Charles L.A. Clarke, and Gordon V. Cormack, Information Retrieval: Implementing and Evaluating Search Engines, MIT Press, 2010. Prerequisite: . Basic knowledge of data structures and algorithms . Programming experience is necessary for homeworks & projects
The access to curricular consultation
Expanding teaching and resources
The course corresponds to the SDGs
Does the course incorporate AI
Note