INFERENCE-BASED INDIVIDUAL PROFILE

摘要

In many computing scenarios, individual profiles are generated from facts specified by, observed about, and/or inferred about individuals, and may be used to personalize services to such individual. Such facts may include details provoking a sensitivity of an individual, and it may be undesirable to reveal the collection and use of such facts to the individual; however, such facts may enable accurately personalized service. These considerations may be balanced by partitioning the individual profile into a foreground profile, comprising facts that are revealed to the individual, and a background profile, comprising facts that are collected about but not revealed to the individual. Services may be covertly personalized for the individual based on the sensitive information stored in the background profile (e.g., restaurant recommendations that are overtly recommended based on the current location of the individual, and also covertly selected based on an inferred income level of the individual).