Category Archives: Mobile

Counting Unique Mobile App Users with HyperLogLog

Posted on November 16, 2014 by

Continuing along the theme of real time analytic with approximate algorithms, the  focus this time is approximate cardinality estimation. To put the ideas in a context, the use case we will be working with is for counting number of unique users … Continue reading →

Posted in Approximate Query, Big Data, Data Science, Mobile, Real Time Processing, Storm | Tagged , , | 1 Comment

Location and Time Based Service

Posted on August 11, 2014 by

When I implemented feature similarity based matching engine in my open source Personalization and Recommendation Engine sifarish, it was for addressing the cold start problem. It allowed me to do content or feature based recommendation for users with limited engagement. … Continue reading →

Posted in Big Data, Hadoop and Map Reduce, Mobile, Real Time Processing, Recommendation Engine, Search, Spark, Storm | Tagged , , , | Leave a comment