Portfolio search engine based on personal construct system

Chen Chung Liu, Ping Hsing Don, Ren Zuo You, Baw Jhiune Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Users still have frustrations when they use traditional search engines on learning web. In order to effectively retrieve relevant students' documents while searching, this study proposes a portfolio search engine based on personal construct. The database source succeeds the students' portfolios of our previous system on web. The experimental results show that the performance of portfolio search engine is always better than traditional search engine significantly. Besides, the Bayesian Belief Network mechanism can be used for assisting this portfolio search engine to promote the efficiency of performance.

Original languageEnglish
Title of host publicationProceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
Pages659-663
Number of pages5
DOIs
StatePublished - 2005
Event5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 - Kaohsiung, Taiwan
Duration: 5 Jul 20058 Jul 2005

Publication series

NameProceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
Volume2005

Conference

Conference5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
Country/TerritoryTaiwan
CityKaohsiung
Period5/07/058/07/05

Fingerprint

Dive into the research topics of 'Portfolio search engine based on personal construct system'. Together they form a unique fingerprint.

Cite this