International Conference on Modeling Simulation and Applied Optimization (ICMSAO)


he main aim of this work is to give priority to the individual preferences and sentiments of users in terms of reviews. This is achieved through the selection of a personalized top review set by Personalized Aspect Analysis Model (PAAM), which covers reviews about aspects that are of more relevance to the user. The effectiveness of the proposed approach on computing PAAM with high-level coverage, top quality, and relevance of the subjects that are of importance to the customer are demonstrated through the experimental evaluation.