High utility itemsets are sets of items having a high utility or profit in a database. Efficiently discovering high utility itemsets plays a crucial role in real-life applications such as market basket analysis.

In this project we focus on HUI-MINER algorithm and then we propose TKO which handles top k itemsets between driven itemsets by HUI-MINER. After extracting these itemsets, we're going to develop a recommender system which uses the mined data from database.