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I'm looking for a solution for collaborative filtering in rails or even possible examples. So far I have only found acts_as_recommendable which looks useful but I noticed it hasn't had any updates in the last 2 years.
Does anyone know of any other solutions and/or examples?
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I'm building a recommendation engine using collaborative filtering. For similarity scores, I use a Pearson correlation. This is great most of the time, but sometimes I have users that only share a 1 or 2 fields. For example:
User 1{
a: 4
b: 2
}
User 2{
a: 4
b: 3
}
Since this is only 2 data points…
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Hi
I'm trying to develop a site that recommends items(fx. books) to users based on their preferences. So far, I've read O'Reilly's "Collective Intelligence" and numerous other online articles. They all, however, seem to deal with single instances of recommendation, for example if you like book A…
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Using Python, I'm computing cosine similarity across items.
given event data that represents a purchase (user,item), I have a list of all items 'bought' by my users.
Given this input data
(user,item)
X,1
X,2
Y,1
Y,2
Z,2
Z,3
I build a python dictionary
{1: ['X','Y'], 2 : ['X','Y','Z'], 3 : ['Z']}
From…
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I'm trying to decide on the best similarity metric for a product recommendation system using item-based collaborative filtering. This is a shopping basket scenario where ratings are binary valued - the user has either purchased an item or not - there is no explicit rating system (eg, 5-stars).
Step…
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