Abstract
This paper proposes a recommender system based on personal values. Marketing fields have been taking notice of personal values, because such values are significantly related to user preference. While existing recommender systems usually employ user preference of items to make recommendations, proposed method focuses on users' value judgments, on which attribute a user puts a high priority. Implementation of the recommender system based on personal values is supposed to realize the acquisition of diversified recommended items from a non-traditional viewpoint.
