human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "a framework for evaluating the retrieval effectiveness of search engines"):
  Abstract: This chapter presents a theoretical framework for evaluating next generation search engines. We focuson search engines whose results presentation is enriched with additional information and does notmerely present the usual list of “10 blue links”, that is, of ten links to results, accompanied by a shortdescription. While Web search is used as an example here, the framework can easily be applied tosearch engines in any other area.The framework not only addresses the results presentation, but also takes into account an extension ofthe general design of retrieval effectiveness tests. The chapter examines the ways in which this designmight influence the results of such studies and how a reliable test is best designed.

Includes members:
  Member "the influence of commercial intent of search results on their perceived relevance":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "evaluating the retrieval effectiveness of web search engines using a representative query sample")
  Member "problems with the use of web search engines to find results in foreign languages":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "can we use google scholar to identify highly cited documents")
  Member "the retrieval effectiveness of search engines on navigational queries":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "what users see structures in search engine results pages")
  Member "the retrieval effectiveness of web search engines considering results descriptions":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "featured snippets results in google web search an exploratory study")
  Member "implications of inter rater agreement on a student information retrieval evaluation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "better than their reputation on the reliability of relevance assessments with students")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.IR(Information Retrieval)