Research on Group Recommendation Mode based on Item Features and Time Factor
Zhufeng Qiao, Lei Chen, JianXin Guo
Available Online May 2017.
- https://doi.org/10.2991/icmeit-17.2017.97How to use a DOI?
- Item Features, Preference Fusion, Group Preference.
- 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.
- 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 - 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 - https://doi.org/10.2991/icmeit-17.2017.97 ID - Qiao2017/05 ER -