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Questions tagged [recommender-system]

Everything related to recommender systems

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2
votes
2answers
6k views

Clustering users based on buying behaviour

I have a set of data which indicates purchase transaction of users (~1 million records). User can have more than 1 purchase across time. Data is spread over 6-7 months. Attributes that I have are ...
12
votes
2answers
1k views

Preference Matching Algorithm

There's this side project I'm working on where I need to structure a solution to the following problem. I have two groups of people (clients). Group A intends to ...
7
votes
2answers
4k views

Recommender system based on purchase history, not ratings

I'm exploring options for recommender systems optimized for the insurance industry, which would take into account i) product holdings ii) user characteristics (segment, age, affluence, etc.). I ...
16
votes
2answers
7k views

Recommending movies with additional features using collaborative filtering

I am trying to build a recommendation system using collaborative filtering. I have the usual [user, movie, rating] information. I would like to incorporate an ...
6
votes
1answer
3k views

Bechmark for Movielens

I'm looking for a place to find benchmarks against which to evaluate performance on public datasets. In this instance, I'm interested in results on the MovieLens10M dataset. It seems to be ...
2
votes
2answers
94 views

Is there any standard pattern recognition algorithm in predicting an item which a user will be buying next, given I have the history of the purchases

I am having a list of 10 different items a user has bought in the past. Each item has been bought multiple times. I would like to find a pattern in which the user buys a particular item and predict ...
5
votes
1answer
162 views

Data scheduling for recommender

I do at the moment some data experiments with the Graphlab toolkit. I have at the first next SFrame, with the three columns: Users Items Rating The pair in the ...
3
votes
3answers
788 views

Solution for in Time/Space Complexity challenge in Recommendation System?

I have a book Recommendation System project and have a huge data set of feature vectors. What is the best solution for in memory computation? I mean, the program should: calculate the cosine ...
1
vote
1answer
2k views

Updating One-Hot Encoding to account for new categories

My question is focused around how to appropriately update an encoded feature set when a new category is introduced by the test data. I use the data in logistic regression and I know it is not a 'live' ...