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

DOI

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.

Copyright

© 2017, 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  - 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  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 522
EP  - 525
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.97
DO  - 10.2991/icmeit-17.2017.97
ID  - Qiao2017/05
ER  -