Efficient Collaborative Crowdsourcing
Authors: Zhengxiang Pan, Han Yu, Chunyan Miao, Cyril Leung
AAAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Analysis proves that Crowd Asm can achieve close to optimal profit for workers in a given crowdsourcing system if they follow the recommendations. The Crowd Asm Approach... Thus, the objective function can be re-expressed as: ... we have proven that the time averaged profit achievable for a given crowdsourcing system following Crowd Asm is within O( 1 ρ) of the optimal profit, subject to the physical limitations of the crowdsourcing system. Theoretical analysis has shown that Crowd Asm can achieve close to optimal profit for workers in a collaborative crowdsourcing system if they follow the recommendations. |
| Researcher Affiliation | Academia | 1Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Nanyang Tech. Univ., Singapore 2Department of Electrical and Computer Engineering, the University of British Columbia, Vancouver, BC, Canada {panz0012, han.yu, ascymiao}@ntu.edu.sg, cleung@ece.ubc.ca |
| Pseudocode | No | The paper presents mathematical equations and a derivation of its approach but does not include pseudocode or an algorithm block. |
| Open Source Code | No | The paper does not mention providing open-source code for the described methodology. |
| Open Datasets | No | The paper is purely theoretical and does not involve experimental training on a dataset, therefore no public dataset information for training is provided. |
| Dataset Splits | No | The paper is theoretical and does not involve data splits for training, validation, or testing, thus no such information is provided. |
| Hardware Specification | No | The paper is theoretical and does not describe experiments, therefore no hardware specifications are mentioned. |
| Software Dependencies | No | The paper is theoretical and does not specify any software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe experiments, thus no experimental setup details like hyperparameters or training settings are provided. |