Distance Education Recommended Sequence Key Technology Research and Implementation

DOI

10.2991/itms-15.2015.338How to use a DOI?

Keywords

Sequence Recommendation; Sequence; Frequent Sequences; PrefixSpan

Abstract

This paper analyzes user learned historical data’s business characteristics of distance education platform. After comparison and analysis using PrefixSpan algorithm, proposed a model with the ability to track the sequence of interest is recommended changes. Research on key technology of sequence databases, sequence mining, sequence recommendation. Design a distance education platform sequence recommendation system, and achieved good results in practical applications.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Z.F. Qiao
AU  - J.X. Guo
AU  - J.C. Zhao
PY  - 2015/11
DA  - 2015/11
TI  - Distance Education Recommended Sequence Key Technology Research and Implementation
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 1382
EP  - 1385
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.338
DO  - 10.2991/itms-15.2015.338
ID  - Qiao2015/11
ER  -