Random Walk based Fake Accounts Detection

September 14, 2024

Attackers maintains fake accounts to use them for various reasons, for example, in a social media website, attackers could use them to post content to push a certain ideas. Another example in online retail where attackers use fake accounts to add fake reviews to improve the visibility of certain product. In this post we will cover random walk based model proposed in Random Walk based Fake Account Detection in Online Social Networks to detect fake accounts. Read more

Buy It Again Recommendation

August 31, 2024

Buy-it-again is a popular recommendation model in online retail. In this post we will cover a simple model proposed in Buy it again: Modeling repeat purchase recommendations that achieves good results despite its simplicity. Read more

RMSE Assumptions

August 2, 2024

The Root Mean Square Error (RMSE) is a common loss function used in machine learning for regression tasks that measures the average distance between the predicted and true values. However, what implicit modeling assumptions are me making when we use such error to evaluate the model fit? Read more

Galloping Search

July 26, 2024

Suppose we we have sorted array and we are interested in finding a particular element. There are a number of ways we can go about it. Read more

The Luhn Formula

November 1, 2021

The Luhn formula is a simple checksum formula used for validating identification numbers. It is designed to protect against accidental errors in data entry but not malicious attacks. For example, on a website a user may enter a credit card number or ISBN and sometimes these numbers may be mistyped. One can then use the Luhn formula to determine if the entered number is a valid one. Read more