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: "Newsjunkie: providing personalized newsfeeds via analysis of information novelty"
  Abstract: We present a principled methodology for filtering news stories by formal measures of information novelty, and show how the techniques can be usedto custom-tailor news feeds based on information that a user has already reviewed. We review methods for analyzing novelty and then describe Newsjunkie, a system that personalizes news for users by identifying the novelty of stories in the context of stories they have already reviewed. Newsjunkie employs novelty-analysis algorithms that represent articles as words and named entities. The algorithms analyze inter-andintra-document dynamics by considering how information evolves over timefrom article to article, as well as within individual articles. We review the results of a user study undertaken to gauge the value of the approachover legacy time-based review of newsfeeds, and also to compare the performance of alternate distance metrics that are used to estimate the dissimilarity between candidate new articles and sets of previously reviewed articles.

Connected through hyperedge HE-1 (induced by source paper "Connecting the dots between news articles"):
  with members:
    - "Scheduling Broadcasts in a Network of Timelines"

Connected through hyperedge HE-2 (induced by source paper "The AT&T Internet Difference Engine: Tracking and viewing changes on the web"):
  with members:
    - "Potential benefits of delta encoding and data compression for HTTP"

Connected through hyperedge HE-3 (induced by source paper "Personalized recommendation on dynamic content using predictive bilinear models"):
  with members:
    - "Contextual Recommendation based on Text Mining"
    - "Image-Based Recommendations on Styles and Substitutes"
    - "Link prediction via matrix factorization"

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