A systematic review of recommender system for e-portfolio domain

Puji Rahayu, Dana Indra Sensuse, Betty Purwandari, Indra Budi, F. Khalid, N. Zulkarnaim

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

11 Citations (Scopus)

Abstract

The aim of this study was to improve the state of the art recommendation techniques in thee-Portfolio domain.A Systematic Review method is used inthis literature review, with the following steps: (a) Identification of recommendation focus that influences the implementation of e-Portfolio; (b) Identification of recommendation techniques in e-Portfolio environment; (c) Synthesizing the literature; (d)Make comparing in the recommendation focus andtechniques for the implementation of the e-portfolio; and (e) Discuss the result and future research. The process of inclusion and exclude literature obtained from 5 electronic databases, with the amount of literature that met the initial stages as many as 5805 articles, up to 107 papers obtained are eligible. Then from 28 the papers, performed synthesize to produce recommendation focus and techniquesin the e-portfolioof the most widely implementedThe results ofthis study is to find that recommender system may suitable for thee-Portfolio domain is afocus on personalization based on hybrid technique and collaborative filtering.

Original languageEnglish
Title of host publicationProceedings of 2017 5th International Conference on Information and Education Technology, ICIET 2017
PublisherAssociation for Computing Machinery
Pages21-26
Number of pages6
ISBN (Electronic)9781450348034
DOIs
Publication statusPublished - 10 Jan 2017
Event5th International Conference on Information and Education Technology, ICIET 2017 - Tokyo, Japan
Duration: 10 Jan 201712 Jan 2017

Publication series

NameACM International Conference Proceeding Series

Conference

Conference5th International Conference on Information and Education Technology, ICIET 2017
Country/TerritoryJapan
CityTokyo
Period10/01/1712/01/17

Keywords

  • E-Portfolio
  • Recommender System
  • Systematic Review

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