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user-generated contentMusic genre
In this paper, we evaluate the accuracy of personality-based recommendations using a real-world data set from Ama-zon.com. We automatically infer the personality traits, needs, and values of users based on unstructured user-generated content in social media, rather than administering question-naires or explicitly asking the users to self-report their char-acteristics. We find that personality characteristics signifi-cantly increase the performance of recommender systems, in general, while different personality models exhibit statisti-cally significant differences in predictive performance
Online lifestyles have been shown to reflect and affect consumers’ preferences across a wide range o...
Recommendation system is the reason of success for most of the social media companies as well as e-c...
As the popularity of micro-blogging sites, expressed as the number of active users and volume of onl...
Abstract Personality, as defined in psychology, accounts for the individual differ-ences in users ’ ...
It is well known that human reasoning and decision-making are strongly influenced by psychological a...
Recommender systems have emerged, as an intelligent information filtering tool, to help users effect...
Followee recommendation is a problem rapidly gaining importance in Twitter and other micro-blogging ...
In the last decade, new ways of shopping online have increased the possibility of buying products an...
To understand users ’ acceptance of the emerging trend of personality-based recommenders (PBR), we e...
Abstract. Our previous research indicates that using personality quizzes is a viable and promising w...
An individual’s personality can be defined as the set of attributes, feelings, and ways of thinking ...
In recent years there has been an exponential increase in the number of users each day adopting e-co...
Online lifestyles have been shown to reflect and affect consumers’ preferences across a wide range o...
Recommendation system is the reason of success for most of the social media companies as well as e-c...
As the popularity of micro-blogging sites, expressed as the number of active users and volume of onl...
Abstract Personality, as defined in psychology, accounts for the individual differ-ences in users ’ ...
It is well known that human reasoning and decision-making are strongly influenced by psychological a...
Recommender systems have emerged, as an intelligent information filtering tool, to help users effect...
Followee recommendation is a problem rapidly gaining importance in Twitter and other micro-blogging ...
In the last decade, new ways of shopping online have increased the possibility of buying products an...
To understand users ’ acceptance of the emerging trend of personality-based recommenders (PBR), we e...
Abstract. Our previous research indicates that using personality quizzes is a viable and promising w...
An individual’s personality can be defined as the set of attributes, feelings, and ways of thinking ...
In recent years there has been an exponential increase in the number of users each day adopting e-co...
Online lifestyles have been shown to reflect and affect consumers’ preferences across a wide range o...
Recommendation system is the reason of success for most of the social media companies as well as e-c...
As the popularity of micro-blogging sites, expressed as the number of active users and volume of onl...
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