課程資訊
課程名稱
資訊檢索
Information Retrieval 
開課學期
110-1 
授課對象
文學院  圖書資訊學系  
授課教師
唐牧群 
課號
LIS4012 
課程識別碼
106 47000 
班次
 
學分
3.0 
全/半年
半年 
必/選修
必帶 
上課時間
星期三6,7,8(13:20~16:20) 
上課地點
圖資視聽室 
備註
總人數上限:70人 
 
課程簡介影片
 
核心能力關聯
核心能力與課程規劃關聯圖
課程大綱
為確保您我的權利,請尊重智慧財產權及不得非法影印
課程概述

The course is designed to provide an introduction to the use, design and evaluation of information (IR) systems. It covers major components in the IR process such as information needs, search strategies, IR models and IR interaction. Students will acquire hand-on experiences with the design and evaluation of a digital library system. Special attention will be given to users’ information environment within which IR is situated. 

課程目標
To provide an introduction to the use, design and evaluation of information (IR) systems 
課程要求
After this class, you are able to
1. Have better search skills (for both professional databases and web search engines)
Query construction and use of search strategies
2. Acquire skills in IR evaluation
3. Basic understand of how search engine works
Automatic indexing
Ranking algorithms
4. Design and implement an online digital collection using content management system 
Office Hours
另約時間 備註: Webex url https://moe-tw1.webex.com/meet/mctang 
參考書目
Bell, S. S.(2006). Librarian's guide to online searching.
Bhavani, S. K. K. Drabenstott, D. Radev (2000). Towards a unified framework of IR tasks and strategies.
Manning, Raghavan, Schutze (2008). Introduction to Informaiton Retrieval. Cambridge.
Chowdhury, G.G. (2004), Introduction to modern information retrieval. London: Facet publishing.
William, H. R. (1996). Information retrieval : a health and biomedical perspective. New York: Springer-Verlag New York, Inc.
Salton & McGill (1983). Introduction to modern information retrieval. McGraw-Hill..
Growssman, and Frieder (2004). Information retrieval: algorithms and Heuristics
Belew, Richard K. (2000). Finding out about: a cognitive perspective on search engine technology and the WWW. Cambridge: Cambridge University Press.
O'Connor, B. (1996). Explorations in indexing and abstracting.
Evaluation of Web-Based Search Engines Using User-Effort Measures. Availableonline: http://libres.curtin.edu.au/libres13n2/tang.htm
Ian H. Witten, David Bainbridge (2003). How to Build a Digital Library, Amsterdam: Morgan Kaufmann Publishers. 
指定閱讀
 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Homework and participation 
10% 
Personal homework on text tokenization and TFxIDF calculation. 
2. 
Group project 
15% 
Search command demo 
3. 
Group project 
15% 
IR evaluation 
4. 
Group project 
30% 
Digital library construction 
5. 
Exam 
30% 
Final exam 
 
課程進度
週次
日期
單元主題
第1週
9/22  Introduction to syllabus; History of IR; data vs. information retrieval 
第2週
9/29  Advanced search with PubMed; introduction to search features with PubMed/Ovid/Ebsco/EMBASE 
第3週
10/6  Search strategies tactics ; PICO; factiva Camtasia demo (laptop) 
第4週
10/13  Indexing exhaustivitiy vs. specificity; Automatic index basic (text analysis, term weighting) 
第5週
10/20  IR evaluation 
第6週
10/27  Search feature/command demo due 
第7週
11/3  IR model: Boolean and Vector Space 
第8週
11/10  TFx IDF exercise; discussion of your evaluation project 
第9週
11/17  Relevance feedback and query expansion; evaluation project due 
第10週
11/24  Facet analysis and information architecture; Wordpress demo at computer lab; TFXIDF homework due 
第11週
12/1  IR model II: Probability model 
第12週
12/8  IR model: probablitic and language models 
第13週
12/15  Lab session with your DL project 
第14週
12/22  DL assignment presentation 
第15週
12/29  Web search and link structure; final review 
第16週
1/5  Final exam