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- W2546894489 abstract "A large portion of the content, recommendations and advertisements shown on the web are targeted, based on a profile of an individual user. This paper explores two ways of creating and using such profiles. Behavioural profiling - a commonly used technique which makes inferences based on an individual's previous activity - is compared to what I call Self-Authored Interest (SAI) profiling, which is based on information explicitly volunteered and controlled by the individual. I present the results of an experimental study comparing the effectiveness of the two systems in generating targeted product recommendations. I find that (a) people respond more positively to product recommendations when they are derived from SAI profiles, and (b) the mere belief that a recommendation comes from an SAI profile is also associated with more positive responses." @default.
- W2546894489 created "2016-11-11" @default.
- W2546894489 creator A5042396542 @default.
- W2546894489 date "2016-01-01" @default.
- W2546894489 modified "2023-09-27" @default.
- W2546894489 title "Self-authored interest profiles for personalised recommendations" @default.
- W2546894489 doi "https://doi.org/10.1504/ijima.2016.10001054" @default.
- W2546894489 hasPublicationYear "2016" @default.
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