Tag Archives: mobile

Counting Unique Mobile App Users with HyperLogLog

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

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