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Results tagged with recommender-system
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user 99870
A recommendation engine tries to predict how much a user will enjoy certain goods (movies, books, songs, etc) and makes recommendations. They are often used by online vendors to suggest new purchases.
1
vote
Designing a simple tag-based recommender system
I think there are 2 things to think about:
How to deal with implicit feedback.
There is a famous paper called "Collaborative Filtering for Implicit Feedback Datasets" [1] which can help you. You c …
- 341
6
votes
Accepted
Predicting with Restricted Boltzmann Machines for Collaborative Filtering
The input for missing movies are all zero.
In a vanilla RBM, once you go to the hidden layer and then come back to the visible layer, you'll get reconstructions for all movies, not just the ones that …
- 341
3
votes
Accepted
Using advance optimisation techniques for collaborative filtering systems, is it possible?
L-BFGS, Conjugate gradient and SGD can solve unconstrained optimization problems.
You can find a low-rank approximation with any of those methods.
- 341
1
vote
Building a recommender system using python-recsys (SVD) with implicit feedback rather than r...
This will work but it's a very simple model which does not mean that is useless.
I've build a system where the implicit feedback is a weighted sum over 3 types of events: product view, product added …
- 341
1
vote
graphical methods / deep architectures for collaborative filtering
There are some publications using auto encoders instead of RBMs. This article is really interesting: https://www.nicta.com.au/pub-download/full/8604/
There is also works on content-based recommendati …
- 341