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A method for discovering the knowledge of item rank from consumer reviews. (English) Zbl 07037370
Summary: When observing a collection of ranked items, we may be interested in the questions of why and how one item is ranked over another. This paper presents a method for discovering the knowledge about the rank of the items from consumer reviews. We formulate the questions of interest as a single biconvex minimization problem which has a relationship with SVM (Support Vector Machines). To facilitate the process of knowledge discovery, we propose a two-stage learning algorithm for discovering knowledge from small data. Finally, we evaluate the method by showing our simulation and experiment results.
68 Computer science
90 Operations research, mathematical programming
Full Text: DOI
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