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 "contextualised browsing in a digital library s living lab"):
  Abstract: Contextualisation has proven to be effective in tailoring search results towards the users' information need. While this is true for a basic query search, the usage of contextual session information during exploratory search especially on the level of browsing has so far been underexposed in research. In this paper, we present two approaches that contextualise browsing on the level of structured metadata in a Digital Library (DL), (1) one variant bases on document similarity and (2) one variant utilises implicit session information, such as queries and different document metadata encountered during the session of a users. We evaluate our approaches in a living lab environment using a DL in the social sciences and compare our contextualisation approaches against a non-contextualised approach. For a period of more than three months we analysed 47,444 unique retrieval sessions that contain search activities on the level of browsing. Our results show that a contextualisation of browsing significantly outperforms our baseline in terms of the position of the first clicked item in the result set. The mean rank of the first clicked document (measured as mean first relevant - MFR) was 4.52 using a non-contextualised ranking compared to 3.04 when re-ranking the result lists based on similarity to the previously viewed document. Furthermore, we observed that both contextual approaches show a noticeably higher click-through rate. A contextualisation based on document similarity leads to almost twice as many document views compared to the non-contextualised ranking.

Includes members:
  Member "data requirements for evaluation of personalization of information retrieval a position paper":
    also connected through other hyperedges:
      (none)
  Member "investigating exploratory search activities based on the stratagem level in digital libraries":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "reading protocol understanding what has been read in interactive information retrieval tasks")
  Member "a complete year of user retrieval sessions in a social sciences academic search engine":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "analysis of search stratagem utilisation")
  Member "a usefulness based approach for measuring the local and global effect of iir services":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a digital library for research data and related information in the social sciences")
  Member "extending search facilities via bibliometric enhanced stratagems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "analysis of search stratagem utilisation")
  Member "cross concordances terminology mapping and its effectiveness for information retrieval":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "relevance distributions across bradford zones can bradfordizing improve search")

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)