Comprehensive personalized recommendation technologies

摘要

Data science and Big data analytics invokes promising valuable insights that creates competitive alternates, spark new innovations, and drives increased customer support. As a delivery model for E-commerce applications, user centric approach has potential to enhance customer support. Enterprises enrich their knowledge by observing customer behavior implicitly and maintain customer relationship active. Personalization and recommendation interchangeably plays a vital role in user centric approach. This paper highlights a clear overview of personalization and recommendation, algorithms followed, and list out recent personalization software as service. In addition this paper discusses the major issues behind the literature and difficulties associated in implementation.