Personality modeling based image recommendation

Abstract

With the increasing proliferation of data production technologies (like cameras) and consumption avenues (like social media) multimedia has become an interaction channel among users today. Images and videos are being used by the users to convey innate preferences and tastes. This has led to the possibility of using multimedia as a source for user-modeling, thereby contributing to the field of personalization, recommender systems, content generation systems and so on. This work investigates approaches for modeling personality traits (based on the Five Factor Modeling approach) of users based on a collection of images they tag as ‘favorite’ on Flickr. It presents several insights for improving the personality estimation performance by proposing better features and modeling approaches. The efficacy of the improved personality modeling approach is demonstrated by its use in an image recommendation system with promising results.