Kawamura, Tatsuyuki

Kidode, Masatsugu

Kono, Yasuyuki

Lin, Chin Chan

This paper presents a rating method of human relations to recommend augmented video memory using human profile data and meeting logs. To accomplish the purpose, we define categories of friends, and rating rules to show the user an augmented video memory that contains the appropriate persons. We investigated features for retrieving the videos by using a Tabletop Role-Playing Game (TRPG) style simulation

Rating human relations for recommendation of an augmented video memory using human profile data and meeting logs

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