human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "Hybrid Recommender Systems with Case-Based Components"
  Abstract: Hybrid recommender systems combine recommendation components of different types to achieve improved performance. Many such hybrids have been built but recent studies show that hybrids using case- based recommendation are rare. This paper shows how a range of different hybrids can be constructed using a case-based recommender as one component, and describes a series of experiments in which 20 different hybrids are built and evaluated. Cascade and feature augmentation hybrids are shown to have the highest accuracy over a range of different profile sizes.

Connected through hyperedge HE-1 (induced by source paper "Exam Question Recommender System"):
  with members:
    (none)

Connected through hyperedge HE-2 (induced by source paper "The Wasabi Personal Shopper: a case-based recommender system"):
  with members:
    - "A Web-based information system that reasons with structured collections of text"
    - "VCR: Virtual community recommender using the technology acceptance model and the user's needs type"

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science