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Results tagged with machine-learning
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user 27866
Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
1
vote
Using advance optimisation techniques for collaborative filtering systems, is it possible?
Absolutely, see my example in - http://sanealytics.com/2015/03/10/matrix-factorization/
You can substitute for your favorite optimization method.
- 379
2
votes
Recommendation for a book about recommender systems
The books mentioned here are amazing in-depth that catch you up to most recent research in the field. I wrote a chapter in Data Mining Applications with R that gets you up and running to the point of …
- 379
0
votes
The role of the bias terms in matrix factorization formulas?
Let's say you have a user who hasn't rated any movies.
Assuming your $p_i$ is the factor for the user, it would come down to 0. This means that your $p_i * q_i$ will predict no movies for this poor u …
- 379
2
votes
Updating SVD in Recommender Systems for change in ratings
As someone who practically works with these systems, here is how I do it -
Let's say you have your fancy recommender system go ahead and decompose your matrix of users and ratings ($Y$) to users and …
- 379
1
vote
Assumption behind few latent features in recommender systems?
Three reasons -
By projecting to lower dimensional space, we are saying there are
some common categories (latent variables) that describe our
behavior. Smaller means higher compression, i.e understa …
- 379