Improving Recommendations by Using Personality Traits in User Profiles
نویسندگان
چکیده
By storing Personality Traits in User Profiles we enable Recommender Systems to deduce more interesting recommendations for users acting pro-actively in order to offer them products/services as a consequence of a prediction of their future needs and behavior. This paper is proposed to improve the robustness of recommendations by using psychological aspects such as Personality Traits. This paper is a part of a
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