Artificial Intelligence Information Retrieval(P76I900)

Instructor: Prof. Jung-Hsien Chiang (蔣榮先)

Course: Tue A-C; Office Hour: Mon 3-4

Course Goals

To understand and be able to apply information retrieval technology in automated biomedical literature search. Students will participate in intensive computer programming projects and will enhance their skills via research to various search technologies. This course also includes paper presentation and final project as well. Students will be expected to complete all course requirements upon their participation.

Course Outline
  • Introduction
  • Basic IR Modeling
  • Retrieval Evaluation
  • Document Processing
  • Word Embedding
  • Query Operation
  • Indexing and Search
  • Searching the Webs
  • Social text Analytics/Image Retrieval
  • BERT/ChatGPT Challenge
Textbook

Manning, Raghavan, and Schutze, Introduction to Information Retrieval, Cambridge University Press, 2009

References

Information Retrieval: Implementing and Evaluating Search Engines (MIT Press), 2010

Ricardo Baeza-Yates and Berthier Ribeiro-Neto, Modern Information Retrieval, Addison-Wesley Inc., 1999

Grading Policy

Computer Assignment*                    40%

Presentation**                                   30%

Final Course Project                         30%

Related Material

資料集1

資料集2

資料集3

Syllabus

請各位麻煩填寫以下表單SIGIR 2022~2024欲報告的paper 2篇,並且不要與他人重複:
https://forms.gle/H3VcDH6e2b9T79Gd8

可從以下表單查看他人填寫狀況:

https://docs.google.com/spreadsheets/d/1lzu7GpYpZP3OUcOE2Xj2r1SVEXVPgEyvYvgoRb40_UA/edit?usp=sharing

Lecture Note

lecture-1-introduction

lecture-2-dictionary

lecture-3-tfidf

lecture-4-IR-models

lecture-5-tolerant-retrieval

lecture-6-1-indexconstruction

20241126講義

Supplementary

Precision-recall

Applications

Search-Engine

Homework

homework-1-24

Homework-2-24

Homework-3-24

Homework-4-24

Final-24