Intrapersonal retrospective recommendation: Lifestyle change recommendations using stable patterns of personal behavior

Abstract

Leading a healthy lifestyle can prevent or delay medical conditions, elevate mood, improve energy, stabilize sleep, and have other positive effects. Recommender systems are one possible technology to support making lifestyle changes. Recommender systems often use ratings of other users to make recommendations, but this approach may be problematic for making lifestyle change recommendations because of the large variations in human behavior . This paper proposes Intrapersonal Retrospective Recommendation as a new method for generating lifestyle change recommendations that uses only personal history. We explain the benefits and drawbacks of this approach and suggest some future directions.