Abstract: This paper discusses areas where crowd computing needs attention to optimize crowd resources as well as increase the efficiency of crowd computing. We explore only three horizons namely user modeling,labels integration, sample selection. We observe that each one is a research area in its own where work has been progressing at appreciable rate.But they are open issues, so scope of improvement exists in all the areas of crowd computing. Our paper is a sincere attempt to bring out the shortcomings of current strategies used in development of crowd computing applications. This paper will serve as a readymade guide for researchers who attempt to treadin the path of crowd computing research.
Keywords: Crowd sourcing, Crowd computing, model selection, label classification, uncertainty.