2012 Preprint
Big-Five Personality Prediction Based on User Behaviors at Social Network Sites
Abstract: Many customer services are already available at Social Network Sites (SNSs), including user recommendation and media interaction, to name a few. There are strong desires to provide online users more dedicated and personalized services that fit into individual's need, usually strongly depending on the inner personalities of the user. However, little has been done to conduct proper psychological analysis, crucial for explaining the user's outer behaviors from their inner personality. In this paper, we propose an…
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Cited by 48 publications
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“…Bai et al [20] used the M4.5 algorithm to identify OCEAN personality model based on the number of friends of the website users and their recently released dynamics, with an accuracy rate of 69% to 72%.…”
Section: An Algorithms That Integrates Users' Linguistic Features Wit...mentioning
confidence: 99%
“…Bai et al [20] used the M4.5 algorithm to identify OCEAN personality model based on the number of friends of the website users and their recently released dynamics, with an accuracy rate of 69% to 72%.…”
Section: An Algorithms That Integrates Users' Linguistic Features Wit...mentioning
confidence: 99%
“…The correlation between users' social network activity and personality has been the focus of several studies in the last decade (Bai, Zhu, and Cheng 2012;Golbeck, Robles, and Turner 2011;Bachrach et al 2012). Personality traits of the Chinese most popular social network RenRen users were analyzed in (Bai, Zhu, and Cheng 2012).…”
Section: Related Workmentioning
confidence: 99%
“…The correlation between users' social network activity and personality has been the focus of several studies in the last decade (Bai, Zhu, and Cheng 2012;Golbeck, Robles, and Turner 2011;Bachrach et al 2012). Personality traits of the Chinese most popular social network RenRen users were analyzed in (Bai, Zhu, and Cheng 2012). C4.5 Decision Trees have shown the best results, yielding 69-72 percent accuracy, for a combination of features related to users' network activity along with affective linguistic features extracted from statuses and blog posts.…”
Section: Related Workmentioning
confidence: 99%
“…According to [91] personality (introversion) and abstraction are the cause for intellectual curiosity and intellectual curiosity, in addition to other traits, is the cause for vocabulary (crystallized intelligence). Personality is estimated by [95]- [97] using the individual's interactions with computers. However, it is more common to use other individuals traits to predict personality, for instance accountability [99].…”
Section: Related Workmentioning
confidence: 99%
