March 21, 2022, 1:12 a.m. | Ragja Palakkadavath, Sarath Sivaprasad, Shirish Karande, Niranjan Pedanekar

cs.LG updates on arXiv.org arxiv.org

Several real-life applications require crafting concise, quantitative scoring
functions (also called rating systems) from measured observations. For example,
an effectiveness score needs to be created for advertising campaigns using a
number of engagement metrics. Experts often need to create such scoring
functions in the absence of labelled data, where the scores need to reflect
business insights and rules as understood by the domain experts. Without a way
to capture these inputs systematically, this becomes a time-consuming process
involving trial and …

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