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: "the retrieval effectiveness of search engines on navigational queries"
  Abstract: Purpose - To test major Web search engines on their performance on navigational queries, i.e. searches for homepages. Design/methodology/approach - 100 real user queries are posed to six search engines (Google, Yahoo, MSN, Ask, Seekport, and Exalead). Users described the desired pages, and the results position of these is recorded. Measured success N and mean reciprocal rank are calculated. Findings - Performance of the major search engines Google, Yahoo, and MSN is best, with around 90 percent of queries answered correctly. Ask and Exalead perform worse but receive good scores as well. Research limitations/implications - All queries were in German, and the German-language interfaces of the search engines were used. Therefore, the results are only valid for German queries. Practical implications - When designing a search engine to compete with the major search engines, care should be taken on the performance on navigational queries. Users can be influenced easily in their quality ratings of search engines based on this performance. Originality/value - This study systematically compares the major search engines on navigational queries and compares the findings with studies on the retrieval effectiveness of the engines on informational queries. Paper type - research paper

Connected through hyperedge HE-1 (induced by source paper "what users see structures in search engine results pages"):
  with members:
    - "problems with the use of web search engines to find results in foreign languages"
    - "the retrieval effectiveness of web search engines considering results descriptions"

Connected through hyperedge HE-2 (induced by source paper "the influence of commercial intent of search results on their perceived relevance"):
  with members:
    - "the retrieval effectiveness of web search engines considering results descriptions"

Connected through hyperedge HE-3 (induced by source paper "evaluating the retrieval effectiveness of web search engines using a representative query sample"):
  with members:
    - "the influence of commercial intent of search results on their perceived relevance"
    - "the retrieval effectiveness of web search engines considering results descriptions"
    - "credibility in web search engines"
    - "ranking of wikipedia articles in search engines revisited fair ranking for reasonable quality"

Connected through hyperedge HE-4 (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"
    - "problems with the use of web search engines to find results in foreign languages"
    - "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-5 (induced by source paper "using search engine technology to improve library catalogs"):
  with members:
    - "ranking library materials"
    - "problems with the use of web search engines to find results in foreign languages"
    - "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)