Automated Interestingness Calculator for mobile app recommendation
作者： Vijay Shankar Gupta , Shruti Kohli
DOI: 10.1109/ICRITO.2015.7359247
关键词:
摘要: With the exponential growth of web technology and smartphone user, there is a vast increase in mobile apps market. Many app recommendation systems are being built to improve Mobile download. The term interestingness Interestingness Measure (IM) have frequently been used context frequent pattern mining different user-based studies. This Automated Calculator (AIC) would provide users list interesting based on various Measures (IMs) that quantify an association. In this work, factors constituting measures determined for recommendations.
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