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 "combining guaranteed and spot markets in display advertising selling guaranteed page views with stochastic demand"):
  Abstract: While page views are often sold instantly through real-time auctions when users visit websites, they can also be sold in advance via guaranteed contracts. In this paper, we present a dynamic programming model to study how an online publisher should optimally allocate and price page views between guaranteed and spot markets. The problem is challenging because the allocation and pricing of guaranteed contracts affect advertisers' purchase between the two markets, and the terminal value of the model is endogenously determined by the updated dual force of supply and demand in auctions. We take the advertisers' purchasing behaviour into consideration, i.e., risk aversion and stochastic demand arrivals, and present a scalable and efficient algorithm for the optimal solution. The model is also empirically validated with a commercial dataset. The experimental results show that selling page views via both guaranteed contracts and auctions can increase the publisher's expected total revenue, and the optimal pricing and allocation strategies are robust to different market and advertiser types.

Includes members:
  Member "pricing average price advertising options when underlying spot market prices are discontinuous":
    also connected through other hyperedges:
      (none)
  Member "risk aware dynamic reserve prices of programmatic guarantee in display advertising":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "pricing average price advertising options when underlying spot market prices are discontinuous")
  Member "ad exchange envy free auctions with mediators":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "era towards privacy preservation and verifiability for online ad exchanges")
  Member "efficient delivery policy to minimize user traffic consumption in guaranteed advertising":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "deep reinforcement learning for online advertising in recommender systems")
  Member "combining spot and futures markets a hybrid market approach to dynamic spectrum access":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "scalable mobile crowdsensing via peer to peer data sharing")
  Member "a dynamic pricing model for unifying programmatic guarantee and real time bidding in display advertising":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "pricing average price advertising options when underlying spot market prices are discontinuous")
  Member "a lattice framework for pricing display advertisement options with the stochastic volatility underlying model":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "pricing average price advertising options when underlying spot market prices are discontinuous")
  Member "multi keyword multi click advertisement option contracts for sponsored search":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "pricing average price advertising options when underlying spot market prices are discontinuous")

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.GT(Computer Science and Game Theory)