Homework Webpage

Topic List and Schedule

9/12		Break
9/19		Course Overview & Introduction
9/26		Retrieval Models (I) - Classic Retrieval Models: Boolean, Vector Space and Probabilistic Models
10/3		Retrieval Evaluation (I) - Measures	HW-1: Evaluation Measures (Due 10/17) HW-2: Classic Retrieval Models  (Due 10/31)  <See Homework Web Page>
10/10		Break
10/17		Retrieval Evaluation (II) - Reference Collections Retrieval Models (II) - Fuzzy Set, Extended Boolean, Generalized Vector Space Models
10/24		Retrieval Models (II) - Fuzzy Set, Extended Boolean, Generalized Vector Space Models Query Operations (Query Expansion and Term Re-weighting)
10/31		Query Operations (Query Expansion and Term Re-weighting) HW-3: Query Expansion and Term Re-weighting  (Due 11/21)  <See Homework Web Page>	HW-3: Query Expansion and Term Re-weighting  (Due 11/21)  <See Homework Web Page>
11/7		Retrieval Models (IV) - HMM/N-gram-based, LSI, PLSA
11/14		Break
11/21		Retrieval Models (IV) - HMM/N-gram-based, LSI, PLSA
11/28		Retrieval Models (III) - Structural Retrieval Models and Browsing Models Text Clustering Techniques
12/5		Text Clustering Techniques Query Languages
12/12		Query Languages Text Languages and Text Statistics
12/19		Workshop on Digital Archives Technology and Innovalue
12/26		Paper Presentation 劉成韋  Automatic Image Annotation and Retrieval using Cross-Media Relevance Models (SIGIR 2003) 蔡明瑾   A Comparative Study on Content-Based Music Genre Classification (SIGIR 2003) 郭榮芳   LSI (I): Theory of LSI 顏永泰   LSI (II): GTP (General Text Parser) Software for Text Mining
1/2		Paper Presentation 朱惠銘  A System for New Event Detection (SIGIR 2003) 謝明晃  Search Strategies in Content-Based Image Retrieval (SIGIR 2003) 張志豪  Generalized vector spaces model in information retrieval (SIGIR 1985)
1/9		Indexing and Searching Text Preprocessing, Text Compression
1/12		Final Exam

Textbook: 

1.		R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval, Addison Wesley Longman, 1999.
2.		W. B. Croft and J. Lafferty (Editors). Language Modeling for Information Retrieval. Kluwer-Academic Publishers, July 2003.

References:
  Books:

1.		W. B. Frakes and R. Baeza-Yates, Information Retrieval: Data Structures & Algorithms,  Prentice-Hall, 1992.
2.		A. D. Bimbo, "Visual Information Retrieval", Morgan Kaufmann, 1999.
3.		I. H. Witten, A. Moffat, and T. C. Bell, Managing Gigabytes: Compressing and Indexing Documents and Images, Morgan Kaufmann Publishing, 1999.
4.		C. Manning and H. Schutze, Foundations of Statistical Natural Language Processing, MIT Press, 1999.
5.		D. Jurafsky and J. H. Martin, Speech and Language Processing, Prentice-Hall, 2000.

Papers:

Grading:
     1. Final: 20%
     2. Presentations 20%
     3. Homework: 20%
     4. Project: 25%
     5. Attendance/Other: 15%
    

Note: If you have any problems, please contact me directly or contact the TA.

TA: Roger Kuo (郭人瑋)  
       Tel: 2932-2411 ext 208
       Email: [email protected]