 However, to build a real-world intelligent assistant that recommends commonly composed charts , it should take the challenges of efficiency, imbalanced data hungry and table context into consideration.
<clarity>  However, to build a real-world intelligent assistant that recommends commonly composed charts , it should take the challenges of efficiency, imbalanced data hungry and table context into consideration.
 However, to build a real-world intelligent assistant that recommends commonly composed charts in real world, one should take the challenges of efficiency, imbalanced data hungry and table context into consideration.