INFORMATION RETRIEVAL
Lecture Information
Information retrieval technology that changes the world
Information retrieval (IR) is the activity of obtaining information resources relevant to an information need from a collection of information resources. Searches can be based on full-text or other content-based indexing. Information retrieval is the science of searching for information in a document, searching for documents themselves, and also searching for metadata that describe data, and for databases of texts, images or sounds.
Lecture Time and Location
- 1분반: 09:00-12:00 (인하대학교 2북474)
- 2분반: 12:00-15:00 (인하대학교 2북671)
Textbook
Grading Policy
- 10% Attendance
- 30% Midterm
- 30% Final
- 30% Project
Late Policy
- If the attendance is less than two-thirds of the total class time, F credit
- If you are absent due to hospital treatment or emergency, please send your doctor's report by e-mail after scanning or shooting
Prerequisite
- Python basics
- Ability to use the Internet
Schedule and Syllabus
| # of Lecture | Date | Description | Lecture Materials |
|---|---|---|---|
| Lecture #0 | 2017-09-01 |
Lecture Introduction How Search Works The Evolution of Search Explore a Google data center |
Lecture slides Youtube video Youtube video Youtube video |
| Lecture #1 | 2017-09-08 | Boolean Retrieval | Lecture slides |
| Lecture #2 | 2017-09-15 | The Term Vocabulary & Postings Lists | Lecture slides |
| Practice #1 | 2017-09-22 | Google All Tips and Tricks | Lecture slides |
| Lecture #3 | 2017-09-29 | Dictionaries and Tolerant Retrieval | Lecture slides |
| Holidays | 2017-10-06 | Chuseok holidays (later supplemented lecture) | |
| Lecture #4 | 2017-10-13 | Index Construction | Lecture slides |
| Lecture #5 | 2017-10-20 | Index Compression | Lecture slides |
| Exam #1 | 2017-10-27 | Mid-term Exam | |
| Lecture #6 | 2017-11-03 | Scoring, Term Weighting & the Vector Space Model | Lecture slides |
| Lecture #7 | 2017-11-10 | Computing Scores in a Complete Search System | Lecture slides |
| Lecture #8 | 2017-11-17 | Evaluation in Information Retrieval | Lecture slides |
| Lecture #9 | 2017-11-24 | Relevance Feedback & Query Expansion | Lecture slides |
| Practice #2 | 2017-12-01 | Python | Jump to Python |
| Practice #3 | 2017-12-08 | TF-IDF Matching Score Function using Python |
Corpus Stopwords BuildIndex Query |
| Exam #2 | 2017-12-15 | Final Exam | |
| Project | 2017-12-21 | Project (due date: 12/20 18:00) |
Personal Project
- Simple natural language processing using Python
- Create a web crawler using Python
- Create a simple search engine using Python