User Profile Merging Based on Total Distance Minimization
نویسندگان
چکیده
For more and more programs today’s television can receive, and the reality that television is often viewed by groups of people, such as a family or a student dormitory, smart TV that can recommend programs for multiple viewers is required eagerly. In this paper, we propose a recommendation scheme that merges individual user profiles to form a common user profile, and then generates common recommendation according to the common user profile. The user profile merging strategy is based on total distance minimization. We are the first to introduce distance concepts into measure difference among user profiles. The total distance minimization guarantees that the merged result could close to most users’ preferences. The experimental results proved that the merging result actually reflects most members’ preferences of the group.
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