Personalized Course Navigation Based on Grey Relational Analysis Han-Ming Lee, Chi-Chun Huang, Tzu-...
-
Upload
chad-morgan -
Category
Documents
-
view
212 -
download
0
Transcript of Personalized Course Navigation Based on Grey Relational Analysis Han-Ming Lee, Chi-Chun Huang, Tzu-...
![Page 1: Personalized Course Navigation Based on Grey Relational Analysis Han-Ming Lee, Chi-Chun Huang, Tzu- Ting Kao (Dept. of Computer Science and Information.](https://reader036.fdocuments.in/reader036/viewer/2022070401/56649f165503460f94c2c671/html5/thumbnails/1.jpg)
Personalized Course Navigation Based on Grey
Relational Analysis
Han-Ming Lee, Chi-Chun Huang, Tzu-Ting Kao(Dept. of Computer Science and Information Engineering, National Taiwan University of Science and technology)
Presented by Sharon HSIAOFeb.23.2007
![Page 2: Personalized Course Navigation Based on Grey Relational Analysis Han-Ming Lee, Chi-Chun Huang, Tzu- Ting Kao (Dept. of Computer Science and Information.](https://reader036.fdocuments.in/reader036/viewer/2022070401/56649f165503460f94c2c671/html5/thumbnails/2.jpg)
agenda
Introduction/motivation Course Recommending Procedure Results & Evaluation Suggestions
![Page 3: Personalized Course Navigation Based on Grey Relational Analysis Han-Ming Lee, Chi-Chun Huang, Tzu- Ting Kao (Dept. of Computer Science and Information.](https://reader036.fdocuments.in/reader036/viewer/2022070401/56649f165503460f94c2c671/html5/thumbnails/3.jpg)
Introduction
Aim: to provide a personalized information recommendation system that dynamically reflects users’ interests
Focus: model users’ interests without explicit rating Content-based personalized technique WGRA (Weighted Grey Relational Analysis)
Coursebot System: distance learning system
![Page 4: Personalized Course Navigation Based on Grey Relational Analysis Han-Ming Lee, Chi-Chun Huang, Tzu- Ting Kao (Dept. of Computer Science and Information.](https://reader036.fdocuments.in/reader036/viewer/2022070401/56649f165503460f94c2c671/html5/thumbnails/4.jpg)
Coursebot
Agent-based system Gather course materials from internet Make intelligent learning recommendations
Classification methods: style retrieval techniques to extract features
![Page 5: Personalized Course Navigation Based on Grey Relational Analysis Han-Ming Lee, Chi-Chun Huang, Tzu- Ting Kao (Dept. of Computer Science and Information.](https://reader036.fdocuments.in/reader036/viewer/2022070401/56649f165503460f94c2c671/html5/thumbnails/5.jpg)
5 components: wrapper agent, course constructor, query agent, interface agent, scheduler
![Page 6: Personalized Course Navigation Based on Grey Relational Analysis Han-Ming Lee, Chi-Chun Huang, Tzu- Ting Kao (Dept. of Computer Science and Information.](https://reader036.fdocuments.in/reader036/viewer/2022070401/56649f165503460f94c2c671/html5/thumbnails/6.jpg)
Coursebot 5 components
Wrapper Agent: collect course material webpages, then classify them by topics in given subjects
Course Constructor: organize webpages from course database as the materials in response to users’ queries
Query Agent: retrieve and expand the query from db Interface Agent: learns profiles based on users brow
sing behavior Scheduler: regularly command Wrapper agent to col
lect materials
![Page 7: Personalized Course Navigation Based on Grey Relational Analysis Han-Ming Lee, Chi-Chun Huang, Tzu- Ting Kao (Dept. of Computer Science and Information.](https://reader036.fdocuments.in/reader036/viewer/2022070401/56649f165503460f94c2c671/html5/thumbnails/7.jpg)
Personalized Course Navigation
Learning and ranking based on user profiles Use WGRA measure to analyze user
preferences
![Page 8: Personalized Course Navigation Based on Grey Relational Analysis Han-Ming Lee, Chi-Chun Huang, Tzu- Ting Kao (Dept. of Computer Science and Information.](https://reader036.fdocuments.in/reader036/viewer/2022070401/56649f165503460f94c2c671/html5/thumbnails/8.jpg)
How does it actually work?
Interact (Query Agent, Interface agent) Time spent on a page (>15 mins is discarded) Length of each page in bytes is recorded Feature vector is used (A = D[f1,f2,…,fm])
Course Display (Query Agent, Course constructor) Rank by revised user profiles and learning schedu
le of different topic (predefined) No ranking for 1st time user
![Page 9: Personalized Course Navigation Based on Grey Relational Analysis Han-Ming Lee, Chi-Chun Huang, Tzu- Ting Kao (Dept. of Computer Science and Information.](https://reader036.fdocuments.in/reader036/viewer/2022070401/56649f165503460f94c2c671/html5/thumbnails/9.jpg)
WGRA (weighted Grey Relational Analysis)
To analyze degrees of relevance among a visited page
Row: individual feature of the document
Column: the degree of Grey relation assigned
to the feature fi between each doc. in Ti and D1
![Page 10: Personalized Course Navigation Based on Grey Relational Analysis Han-Ming Lee, Chi-Chun Huang, Tzu- Ting Kao (Dept. of Computer Science and Information.](https://reader036.fdocuments.in/reader036/viewer/2022070401/56649f165503460f94c2c671/html5/thumbnails/10.jpg)
The higher degree γi1 between Di & D1 means
That these two docs are related to each other
A longer visit to a given page, the user Probably
has higher interest
According to the interests of the doc(browsing time
&length of page), apply adjustment to WGR
grade vector
![Page 11: Personalized Course Navigation Based on Grey Relational Analysis Han-Ming Lee, Chi-Chun Huang, Tzu- Ting Kao (Dept. of Computer Science and Information.](https://reader036.fdocuments.in/reader036/viewer/2022070401/56649f165503460f94c2c671/html5/thumbnails/11.jpg)
Example:
![Page 12: Personalized Course Navigation Based on Grey Relational Analysis Han-Ming Lee, Chi-Chun Huang, Tzu- Ting Kao (Dept. of Computer Science and Information.](https://reader036.fdocuments.in/reader036/viewer/2022070401/56649f165503460f94c2c671/html5/thumbnails/12.jpg)
Experiment results
7 topics “Neural Networks” 1032 related webpages (spider) 128 features (style retrieval) 69 Ratings (graduate students who had taken
NN)
![Page 13: Personalized Course Navigation Based on Grey Relational Analysis Han-Ming Lee, Chi-Chun Huang, Tzu- Ting Kao (Dept. of Computer Science and Information.](https://reader036.fdocuments.in/reader036/viewer/2022070401/56649f165503460f94c2c671/html5/thumbnails/13.jpg)
![Page 14: Personalized Course Navigation Based on Grey Relational Analysis Han-Ming Lee, Chi-Chun Huang, Tzu- Ting Kao (Dept. of Computer Science and Information.](https://reader036.fdocuments.in/reader036/viewer/2022070401/56649f165503460f94c2c671/html5/thumbnails/14.jpg)
conclusion
The proposed method was not significantly different from other algorism
User profiles are easily maintained Low complexity Ease to add knowledge
suitable for online personalized analysis
![Page 15: Personalized Course Navigation Based on Grey Relational Analysis Han-Ming Lee, Chi-Chun Huang, Tzu- Ting Kao (Dept. of Computer Science and Information.](https://reader036.fdocuments.in/reader036/viewer/2022070401/56649f165503460f94c2c671/html5/thumbnails/15.jpg)
Suggestions/notes
Users are restricted to receiving documents similar to related items seen previously by other user
Users’ interests concerning various course materials can be easily modeled