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Incentive-Based Crowdsourcing of Hotspot Services
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11948148openalex-snapshot
Service-Oriented Computing – ICSOC 2006
inferredcites →https://doi.org/10.1007/978-1-4899-2271-7openalex-snapshot
Intrinsic Motivation and Self-Determination in Human Behavior
inferredcites →https://doi.org/10.1007/978-3-642-12654-3_9openalex-snapshot
Recruitment Framework for Participatory Sensing Data Collections
inferredcites →https://doi.org/10.1007/978-3-662-45391-9_26openalex-snapshot
Failure-Proof Spatio-temporal Composition of Sensor Cloud Services
inferredcites →https://doi.org/10.1007/978-3-662-48616-0_26openalex-snapshot
Spatio-Temporal Composition of Crowdsourced Services
inferredcites →https://doi.org/10.1016/j.pmcj.2010.08.006openalex-snapshot
Dynamic pricing incentive for participatory sensing
inferredcites →https://doi.org/10.1016/j.tra.2011.03.003openalex-snapshot
Rewarding rush-hour avoidance: A study of commuters’ travel behavior
inferredcites →https://doi.org/10.1016/j.tranpol.2009.03.005openalex-snapshot
Carrots versus sticks: Rewarding commuters for avoiding the rush-hour—a study of willingness to participate
inferredcites →https://doi.org/10.1016/s0020-0190(99)00031-9openalex-snapshot
The budgeted maximum coverage problem
inferredcites →https://doi.org/10.1080/01441647.2013.789571openalex-snapshot
Importance of user perception in evaluating level of service for bus transit for a developing country like India: a review
inferredcites →https://doi.org/10.1080/15568318.2014.1002027openalex-snapshot
Promoting sustainable travel modes for commute tours: A comparison of the effects of home and work locations and employer-provided incentives
inferredcites →https://doi.org/10.1080/17445760.2012.686170openalex-snapshot
Monetary incentives in participatory sensing using multi-attributive auctions
inferredcites →https://doi.org/10.1109/comst.2015.2415528openalex-snapshot
Incentives for Mobile Crowd Sensing: A Survey
inferredcites →https://doi.org/10.1109/hpcc.and.euc.2013.305openalex-snapshot
Participation-Aware Incentive for Active Crowd Sensing
inferredcites →https://doi.org/10.1109/icc.2015.7249338openalex-snapshot
A spatio-temporal incentive scheme with consumer demand awareness for participatory sensing
inferredcites →https://doi.org/10.1109/infocom.2014.6848001openalex-snapshot
Toward optimal allocation of location dependent tasks in crowdsensing
inferredcites →https://doi.org/10.1109/infocom.2015.7218609openalex-snapshot
Multi-task assignment for crowdsensing in mobile social networks
inferredcites →https://doi.org/10.1109/jiot.2015.2409151openalex-snapshot
A Survey of Incentive Techniques for Mobile Crowd Sensing
inferredcites →https://doi.org/10.1109/music.2012.14openalex-snapshot
Density Maps: Determining Where to Sample in Participatory Sensing Systems
inferredcites →https://doi.org/10.1109/percom.2010.5466993openalex-snapshot
Sell your experiences: a market mechanism based incentive for participatory sensing
inferredcites →https://doi.org/10.1109/percom.2012.6199855openalex-snapshot
A location-based incentive mechanism for participatory sensing systems with budget constraints
inferredcites →https://doi.org/10.1109/percomw.2014.6815171openalex-snapshot
SPREAD, a crowd sensing incentive mechanism to acquire better representative samples
inferredcites →https://doi.org/10.1109/tkde.2017.2672738openalex-snapshot
Crowdsourced Coverage as a Service: Two-Level Composition of Sensor Cloud Services
inferredcites →https://doi.org/10.1109/tsc.2010.34openalex-snapshot
End-to-End Service Support for Mashups
inferredcites →https://doi.org/10.1145/1814433.1814453openalex-snapshot
Diversity in smartphone usage
inferredcites →https://doi.org/10.1145/1864349.1864380openalex-snapshot
Bridging the gap between physical location and online social networks
inferredcites →https://doi.org/10.1145/2729713openalex-snapshot
A Server-Assigned Spatial Crowdsourcing Framework
inferredcites →https://doi.org/10.1145/2820783.2820831openalex-snapshot
Task matching and scheduling for multiple workers in spatial crowdsourcing
inferredcites →https://doi.org/10.1504/ijeim.2010.032267openalex-snapshot
Rewarding in open innovation communities – how to motivate members
inferredcites →https://doi.org/10.15783/c7j010openalex-snapshot
CRAWDAD dataset epfl/mobility (v. 2009-02-24)
inferredcites →https://doi.org/10.1609/aaai.v26i1.8120openalex-snapshot
Online Task Assignment in Crowdsourcing Markets
inferredcites →https://doi.org/10.2307/2070638openalex-snapshot
Intrinsic Motivation and Self-Determination in Human Behavior
inferredcites →https://doi.org/10.3386/w22627openalex-snapshot
Using Big Data to Estimate Consumer Surplus: The Case of Uber
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-20984-0_20openalex-snapshot
Balancing Supply and Demand for Mobile Crowdsourcing Services
inferred← citeshttps://doi.org/10.1007/978-981-16-2540-4_12openalex-snapshot
Multi-task Allocation Strategy and Incentive Mechanism Based on Spatial-Temporal Correlation
inferred← citeshttps://doi.org/10.1007/978-981-95-5012-8_29openalex-snapshot
Preference-Aware Crowdsourcing of IoT Energy Services
inferred← citeshttps://doi.org/10.1016/j.dss.2020.113404openalex-snapshot
Optimizing microtask assignment on crowdsourcing platforms using Markov chain Monte Carlo
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.126203openalex-snapshot
A capsule-based reinforcement learning framework for supply–demand matching in mobile crowdsourcing
inferred← citeshttps://doi.org/10.1109/access.2020.3018124openalex-snapshot
A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing—Part II: Emerging Technologies and Open Issues
inferred← citeshttps://doi.org/10.1109/access.2020.3018140openalex-snapshot
A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing—Part I: Fundamentals and Enabling Technologies
inferred← citeshttps://doi.org/10.1109/cloudcom.2019.00048openalex-snapshot
Deep-Gap: A Deep Learning Framework for Forecasting Crowdsourcing Supply-Demand Gap Based on Imaging Time Series and Residual Learning
inferred← citeshttps://doi.org/10.1109/tsc.2021.3064329openalex-snapshot
A Deep Reinforcement Learning Approach for Composing Moving IoT Services
inferred← citeshttps://doi.org/10.1145/3410444openalex-snapshot
Pedestrian Trajectory Prediction in Heterogeneous Traffic using Facial Keypoints-based Convolutional Encoder-decoder Network
inferred← citeshttps://doi.org/10.1145/3464960openalex-snapshot
An internet of things service roadmap
inferred← citeshttps://doi.org/10.1145/3600232openalex-snapshot
An End-to-end Trust Management Framework for Crowdsourced IoT Services
inferred← citeshttps://doi.org/10.1145/3697355.3697393openalex-snapshot
A Design and Development of Crowdsourcing Systems in Smart Cites
inferred← citeshttps://doi.org/10.1145/3697355.3697419openalex-snapshot
A Review of Crowdsourcing Applications in Artificial Intelligence
inferred← citeshttps://doi.org/10.48550/arxiv.2103.03043openalex-snapshot
An Internet of Things Service Roadmap
inferred← citeshttps://doi.org/10.48550/arxiv.2111.03967openalex-snapshot
A Deep Reinforcement Learning Approach for Composing Moving IoT Services
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