Toward Blockchain-Based Crowdsourcing for Machine Learning Ground Truth
摘要
Over the last few years, there has been a significant increase in the amount of research conducted in the area of blockchain technology, which is a relatively new technology that has captivated the interest of the general public. At the same time, another domain had a significant data growing volume helped the widespread use of machine learning. One important element to create an efficient machine learning model is the collected ground truth data. This data can be misinterpreted as the golden truth based on the collection approach. Therefore, we are proposing that the blockchain can significantly facilitate gathering the ground truth for machine learning. The main goal of this paper is to identify several important aspects of integrating blockchain and crowdsourcing as an approach that can be utilized to collect ground truth data. Based on the literature research, we identified 11 blockchain. Following, we approached experts to collect online questioner answers, the questioner aimed to determine the blockchain characteristics with an impact toward the crowdsourcing and ground truth.