Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

Research on Group Recommendation Mode based on Item Features and Time Factor

Authors
Zhufeng Qiao, Lei Chen, JianXin Guo
Corresponding Author
Zhufeng Qiao
Available Online May 2017.
DOI
https://doi.org/10.2991/icmeit-17.2017.97How to use a DOI?
Keywords
Item Features, Preference Fusion, Group Preference.
Abstract
This paper integrated item domain features, time factors and user ratings, using TF-IDF method constructing single member user preference model in each feature. Then, analyze the interaction between groups of users and the influence of user preference on group model by calculating the similarity of user and group attributes. Finally, the group preference features are obtained.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
Part of series
Advances in Computer Science Research
Publication Date
May 2017
ISBN
978-94-6252-338-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-17.2017.97How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhufeng Qiao
AU  - Lei Chen
AU  - JianXin Guo
PY  - 2017/05
DA  - 2017/05
TI  - Research on Group Recommendation Mode based on Item Features and Time Factor
BT  - 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.97
DO  - https://doi.org/10.2991/icmeit-17.2017.97
ID  - Qiao2017/05
ER  -