Using a Rich Context Model for People-to-People Recommendation
2015
In this paper we present an approach for People-to-People recommendations based on a Rich Context Model (RCM). We consider personal user information as contextual information used for our recommendations. The evaluation of our recommendation approach was performed on a social network of students. The obtained results do show a significant increase in performance while, at the same time, a slight increase in quality in comparison to a manual matching process. The proposed approach is flexible enough to handle different data types of contextual information and easy adaptable to other recommendation domains
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
21
References
2
Citations
NaN
KQI