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 "hytasker hybrid task allocation in mobile crowd sensing"):
  Abstract: Task allocation is a major challenge in Mobile Crowd Sensing (MCS). While previous task allocation approaches follow either the opportunistic or participatory mode, this paper proposes to integrate these two complementary modes in a two-phased hybrid framework called HyTasker. In the offline phase, a group of workers (called opportunistic workers) are selected, and they complete MCS tasks during their daily routines (i.e., opportunistic mode). In the online phase, we assign another set of workers (called participatory workers) and require them to move specifically to perform tasks that are not completed by the opportunistic workers (i.e., participatory mode). Instead of considering these two phases separately, HyTasker jointly optimizes them with a total incentive budget constraint. In particular, when selecting opportunistic workers in the offline phase of HyTasker, we propose a novel algorithm that simultaneously considers the predicted task assignment for the participatory workers, in which the density and mobility of participatory workers are taken into account. Experiments on a real-world mobility dataset demonstrate that HyTasker outperforms other methods with more completed tasks under the same budget constraint.

Includes members:
  Member "task allocation in mobile crowd sensing state of the art and future opportunities":
    also connected through other hyperedges:
      (none)
  Member "quality of information in mobile crowdsensing survey and research challenges":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a novel methodology for designing policies in mobile crowdsensing systems")
  Member "prediction based task assignment in spatial crowdsourcing":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "task allocation in mobile crowd sensing state of the art and future opportunities")
  Member "taskme multi task allocation in mobile crowd sensing":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "crowdos a ubiquitous operating system for crowdsourcing and mobile crowd sensing")
  Member "reliable diversity based spatial crowdsourcing by moving workers":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "task allocation in mobile crowd sensing state of the art and future opportunities")
  Member "lazier than lazy greedy":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "good feature matching towards accurate robust vo vslam with low latency")
  Member "data for development the d4d challenge on mobile phone data":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "from megabits to cpu ticks enriching a demand trace in the age of mec")

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.HC(Human-Computer Interaction)