Foursquare Location-Content-Aware Recommender System

Posted on June 26 2017 in Bayesian Statistics • Tagged with latent dirichlet allocation, hierarchical bayes, recommender system, statistics, rLeave a comment

Foursquare uses its unique location technology and foot traffic panel to produce personalized recommendations of spatial items such as restaurants. Recently I've read a paper LCARS: A Spatial Item Recommender System that I implemented from scratch in R.

The recommender system combines the querying user's interest and the local preference …

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Estimating the Total Daily Number of Customers at Bon Me

Posted on January 30 2016 in Bayesian Statistics • Tagged with bayesian statistics, hierarchical bayes, monte carlo simulation, statistics, machine learning, r, jagsLeave a comment

Bon Me is one of my favorite places to grab a quick bite for lunch. Surprisingly I didn't know about its existence until earlier last year despite being so close to my workplace. I really recommend you try miso-braised pulled pork on brown rice without cilantro. It's really addicting.

Anyhow …

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Predicting the Fitbit Challenge Winner with Hierarchical Bayes

Posted on November 28 2015 in Bayesian Statistics • Tagged with bayesian statistics, hierarchical bayes, monte carlo simulation, statistics, machine learning, r, jagsLeave a comment

Hi there! It's been a little more than a month since my last post. Thanksgiving was two days ago, and I had a good time with my family. How's everyone doing?

With the upcoming Cyber Monday, I'm sure many of you have cool electronics and gadgets in mind to look …

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