The field has developed techniques, known as preference elicitation , to obtain models from interactive questioning with experts or decision-makers. These techniques utilize various types of preferential information, such as pairwise comparisons of alternatives or the ranking of a subset of alternatives. from the Liquid Chromatography (LC)-MS/MS data generated from a plant extract, and the tool gave high priority to promising compounds, including one whose elucidated structure confirmed its novelty. The isolation efforts undertaken in many extractive chemistry projects are justified by the lack of annotation of MS/MS data when using these various tools. This leads to a risk that falsely annotated new molecules would fail to be isolated based on the idea that their annotation indicates them to have been already reported previously.