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How recommendation is done based on properties of product? Explain with suitable example?
1 Answer
| written 8.0 years ago by |
There are two basic architectures for a recommendation system:
Content-Based systems focus on properties of items. Similarity of items is determined by measuring the similarity in their properties.
Collaborative-Filtering systems focus on the relationship between users and items. Similarity of items is determined by the similarity of the ratings of …