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3.4.2 User Preference Learning in Multi-Criteria Recommendation Using Stacked Autoencoders by Tallapally et al.

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Here, they come up with a stacked autoencoders which is a DNN approach to use the multiple-criteria ratings. They implemented a model which is configured to analyze the connection in the middle of every client’s criteria and general rating efficiency. Test outcomes are based on practical datasets like Yahoo! Movies dataset and TripAdvisor dataset. It illustrates that this approach can perform both single-criteria systems and multi-criteria approaches on different performance matrix [4].

Now, if we look on their proposed performance evaluation and result analysis, then it will be cleared that how much efficiency this model can achieve.

Advanced Analytics and Deep Learning Models

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