Forecasting from Similar Products
Overview
One of the primary methods of forecasting a customers rating of a product is to
find other products similar to the given product, and taking an average of that customers ratings for
the product in question. (see
nearest neighbor method)
Determining Similarity
A central task in the method is to find a function
(a
kernel)
which can compute a measure of similarity between two customers. This function will be used to
- Feature Based
- if a set of features for each product is available ,
then a kernel can be constructed from those features. Of course, determining the form of the function
(finding the optimal function) is the challenge
- Latent Factors