November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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Advantages of content-based filtering algorithms
The following are the advantages of content-based filtering algorithms:
- Eliminates the cold-start problem for new items: If we have enough information about the users, and detailed information about the new content, then the cold-start problem found in collaborative filtering algorithms does not affect content-based algorithms. The recommendation can be made based on the user profile and the information about the content.
- The recommendations are explainable and transparent: Using content representation models, we'll be able to explain how certain items are selected for recommendations.
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