Automated Interestingness Calculator for Mobile App Recommendation

With the exponential growth of web technology and smartphone user, there is a vast increase in the mobile apps market. Many mobile app recommendation systems are being built to improve Mobile app download. The term interestingness and Interestingness Measure (IM) have frequently been used in the context of frequent pattern mining in different user-based studies. This Automated Interestingness Calculator (AIC) would provide users a list of interesting apps based on various Interestingness Measures (IMs) that quantify the interestingness of an association. In this work, factors constituting app interestingness measures have been determined and used for apps recommendations.