human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "problems with the use of web search engines to find results in foreign languages"
  Abstract: Purpose - To test the ability of major search engines, Google, Yahoo, MSN, and Ask, to distinguish between German and English-language documents #R##N#Design/methodology/approach - 50 queries, using words common in German and in English, were posed to the engines. The advanced search option of language restriction was used, once in German and once in English. The first 20 results per engine in each language were investigated. #R##N#Findings - While none of the search engines faces problems in providing results in the language of the interface that is used, both Google and MSN face problems when the results are restricted to a foreign language. #R##N#Research limitations/implications - Search engines were only tested in German and in English. We have only anecdotal evidence that the problems are the same with other languages. #R##N#Practical implications - Searchers should not use the language restriction in Google and MSN when searching for foreign-language documents. Instead, searchers should use Yahoo or Ask. If searching for foreign language documents in Google or MSN, the interface in the target language/country should be used. #R##N#Value of paper - Demonstrates a problem with search engines that has not been previously investigated.

Connected through hyperedge HE-1 (induced by source paper "can we use google scholar to identify highly cited documents"):
  with members:
    - "back to the past on the shoulders of an academic search engine giant"
    - "methods for estimating the size of google scholar"
    - "google scholar metrics evolution an analysis according to languages"
    - "the google scholar experiment how to index false papers and manipulate bibliometric indicators"

Connected through hyperedge HE-2 (induced by source paper "what users see structures in search engine results pages"):
  with members:
    - "the retrieval effectiveness of search engines on navigational queries"
    - "the retrieval effectiveness of web search engines considering results descriptions"

Connected through hyperedge HE-3 (induced by source paper "a framework for evaluating the retrieval effectiveness of search engines"):
  with members:
    - "the influence of commercial intent of search results on their perceived relevance"
    - "the retrieval effectiveness of search engines on navigational queries"
    - "the retrieval effectiveness of web search engines considering results descriptions"
    - "implications of inter rater agreement on a student information retrieval evaluation"

Connected through hyperedge HE-4 (induced by source paper "using search engine technology to improve library catalogs"):
  with members:
    - "ranking library materials"
    - "the retrieval effectiveness of search engines on navigational queries"
    - "the retrieval effectiveness of web search engines considering results descriptions"

Question: Please tell me which class the center node 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)