CSCF : A Mashup Service Recommendation Approach based on Content Similarity and Collaborative Filtering

@inproceedings{Cao2014CSCFA,
  title={CSCF : A Mashup Service Recommendation Approach based on Content Similarity and Collaborative Filtering},
  author={Buqing Cao and Mingdong Tang and Xing Huang},
  year={2014}
}
Lightweight Mashup service become very prevalent now since there are lots of advantages for them, such as easy use, short development time, and strong scalability. It is a challenge problem how to recommend user-interested, high-quality Mashup services to user with the rapid development of more and more Mashup service. In this paper, we propose CSCF (a Mashup service recommendation approach based on Content Similarity and Collaborative Filtering). CSCF firstly computes the content similarity… CONTINUE READING