The Private Recommendation Based on the Analysis of User Dynamic Behavior
Hongyan Yang, Qun Liu
Available Online March 2015.
- https://doi.org/10.2991/etmhs-15.2015.224How to use a DOI?
- private recommendation; hot topic; dynamic behavior network; interest similarity
- The traditional private recommendation system always ignores user dynamic behaviors. In consideration of the problem, the private recommendation based on the analysis of user dynamic behavior is provoked. This method recommends interested users in their virtual communities which are identified in the dynamic behavior network. The dynamic behavior network is built and made up of micro blog hot topics, users and participation behavior relationships. Meanwhile, this method not only considers the short-term dynamic interest, but also takes long-term stability interest into account. In order to get the weighted similarity of interest, establish the long-term interest model and short-term interest model, and trade off their contribution rate. Finally, experiment is done on a micro blog data set, The results show that this method has good effect.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Hongyan Yang AU - Qun Liu PY - 2015/03 DA - 2015/03 TI - The Private Recommendation Based on the Analysis of User Dynamic Behavior BT - 2015 International Conference on Education Technology, Management and Humanities Science (ETMHS 2015) PB - Atlantis Press SP - 1015 EP - 1020 SN - 2352-5398 UR - https://doi.org/10.2991/etmhs-15.2015.224 DO - https://doi.org/10.2991/etmhs-15.2015.224 ID - Yang2015/03 ER -