| Academic Year |
2024Year |
School/Graduate School |
Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Informatics and Data Science Program |
| Lecture Code |
WSN21001 |
Subject Classification |
Specialized Education |
| Subject Name |
情報検索概論 |
Subject Name
（Katakana） |
ジョウホウケンサクガイロン |
Subject Name in
English |
Information retrieval |
| Instructor |
KAMEI SAYAKA |
Instructor
(Katakana) |
カメイ サヤカ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, First Semester, 2Term |
| Days, Periods, and Classrooms |
(2T) Mon5-8：ENG 115 |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
| Presentation by students |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
B
:
Japanese／English |
| Course Level |
5
:
Graduate Basic
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
02
:
Information Science |
| Eligible Students |
|
| Keywords |
|
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Class Objectives
/Class Outline |
We are going to learn introduction to recommendation systems. |
| Class Schedule |
lesson1 Guidance,
lesson2 An Introduction to Recommender Systems
lesson3 Neighborhood-Based Collaborative Filtering
lesson4 Model-Based Collaborative Filtering
lesson5 Model-Based Collaborative Filtering
lesson6 Content-Based Recommender Systems
lesson7 Knowledge-Based Recommender Systems
lesson8 Ensemble-Based and Hybrid Recommender Systems
lesson9 Evaluating Recommender Systems
lesson10 Context-Sensitive Recommender Systems
lesson11 Time- and Location-Sensitive Recommender Systems
lesson12 Structual Recommendations in Networks
lesson13 Social and Trust-Centric Recommender Systems
lesson14 Attack-Resistant Recommender Systems
lesson 15 Advanced Topics in Recommender Systems |
Text/Reference
Books,etc. |
Charu C. Aggarwal, "Recommender Systems: The Textbook", Springer, 2016 |
PC or AV used in
Class,etc. |
|
| (More Details) |
Textbook |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
You have to give a presentation in the class. |
| Requirements |
|
| Grading Method |
Presentation, Resume, Questions and Answers. |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
|
| Other |
|
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. |