A Systematic Review of Recommender System for e-Portfolio Domain

被引：12

作者：

Rahayu, Puji ^{[1
,2
]}

Sensuse, D. I. ^{[1
]}

Purwandari, B. ^{[1
]}

Budi, I. ^{[1
]}

Khalid, F. ^{[1
]}

Zulkarnaim, N. ^{[1
]}

机构：

[1] Univ Indonesia, Fac Compt Sci, E Govt & E Business Lab, Depok, Indonesia

[2] Perbanas Inst, Fac Inf Tech, Jakarta, Indonesia

来源：

ICIET'17: PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INFORMATION AND EDUCATION TECHNOLOGY | 2017年

关键词：

e-Portfolio; Recommender System; Systematic Review; PERSONALIZED RECOMMENDATION; TOURISM;

D O I：

10.1145/3029387.3029420

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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 in this 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 and techniques 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 techniques in the e-portfolio of the most widely implemented The results of this study is to find that recommender system may suitable for thee-Portfolio domain is a focus on personalization based on hybrid technique and collaborative filtering.

引用

页码：21 / 26

页数：6

共 46 条

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Abrami C. P., 2005, CAN J LEARN TECHNOL, V31, P3

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