machine learning - Is it Item based or content based Collaborative filtering? -
i working on existing system recommends items similar previous items user has liked.
it uses alternating least squares collaborative filtering find feature vectors of users , items. uses feature vectors of items , uses cosine similarity measure find similar items it.
however, clarification whether item based cf or content based filtering? inclination is both. since using similarity measure compare items, items on content of feature vector?
thanks,
if understand correctly extract feature vectors items users-like-items data, pure item-based cf.
in order content based filtering, features of item should used: example, if items movies, content based filtering should utilize such features length of movie, or director, or on, not features based on other users' preferences.
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