Content Based Filtering Working Of Content Based Restaurant Recommendation Model
This slide shows the working of restaurant recommendation model using content-based filtering. The purpose of this slide is to explain how explicit feedback can be used to recommend restaurants to the users. The key elements are feature extractor, text processor, similarity calculator, etc.
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This slide shows the working of restaurant recommendation model using content-based filtering. The purpose of this slide is to explain how explicit feedback can be used to recommend restaurants to the users. The key elements are feature extractor, text processor, similarity calculator, etc. Present the topic in a bit more detail with this Content Based Filtering Working Of Content Based Restaurant Recommendation Model. Use it as a tool for discussion and navigation on Recommendation, Feature Extractor, Text Processor. This template is free to edit as deemed fit for your organization. Therefore download it now.
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