Jarana’s research area is recommendation system. In particular, he aims to generate personalised venue recommendation to users based on their historical feedback and their current context (e.g. time of the day and their current location). We aim to exploit various techniques such as MF and BPR, a collaborative filtering technique that is widely used in previous literature, to effectively model the user’s preferences and to generate high quality of venue suggest. Recent, he explored the effectiveness of Deep Neural Networks (e.g. multi-layer perceptron and RNN) to capture the short-term preference of users based on their sequential order of checkins.