Personality assessment using multiple online social networks

Bhardwaj, Shally; Atrey, Pradeep K.; Saini, Mukesh; Saddik, Abdulmotaleb El

doi:10.1007/s11042-015-2793-0

Cited by 12 publications

(2 citation statements)

References 35 publications

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“…The latter includes mainly quantitative studies focusing on the approach and behaviour of customers in connection with automatic product recommendations (Shen, 2014;Goldsmith & Freiden, 2004), which includes mapping the development of their approach in time. Current studies focus on using available social data from several social media for a better personalization of messages (Bhardwaj et al, 2015) and they confirm the increasing emphasis on personalized marketing during a customer's purchase via the social media . Current design type of research presents new artefacts (frameworks, models, methods etc.)…”

Section: Personalization Of Marketing Activitiesmentioning

confidence: 75%

Business Rules Mining Using GUHA Method for the Personalization of Commercial Offers

Vojíř¹,

Smutný²

2017

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A shift from mass to personalized marketing, and thus also to personalized offers, brings firms an advantage for building customer relationships. The article introduces an artefact in the form of a method for creating personalized offers, focused on companies engaged in e-commerce. This method is based on mining association rules using the GUHA method. The association rules are converted into business rules and then combined with other manually defined business rules. The application of the method in practice is illustrated on customers' data from the e-shop of a company doing business in navigation systems, for the purpose of selecting personalized offers for an e-mailing campaign. The practical illustration uses a combination of the data mining system LISp-Miner and the business rule system JBoss Drools, which are freely available tools. The advantages and limitations of the proposed method, in connection with creating personalized marketing strategies in e-commerce, are discussed. The purpose of this practically oriented article is to address marketing and account managers and the issues connected with the personalization of marketing activities.

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Section: Personalization Of Marketing Activitiesmentioning

confidence: 75%

Business Rules Mining Using GUHA Method for the Personalization of Commercial Offers

Vojíř¹,

Smutný²

2017

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“…These footprints are offered valuable opportunities for psychology research in understanding human characteristics [8]. Previous researches have assessed human personality through social media, such as Bhardwaj et al [9], who assess personality through Facebook and LinkedIn and Park et al [6] who applying the regression model to predict human character based on social media language.…”

Section: Introductionmentioning

confidence: 99%

Personality Measurement Design for Ontology Based Platform using Social Media Text

Alamsyah¹,

Widiyanesti²,

Putra³

et al. 2020

Adv. sci. technol. eng. syst. j.

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Human behavior quantification is an essential part of psychological science. One of the cases is measuring human personality. Social media provide rich text, which can be beneficial as a data source to get valuable insight. Previous researches show that social media offered favorable circumstances for psychological researchers by tracking, analyzing, and predicting human character. In this research, we propose a personality measurement design to help to assess human character through linguistic usage from human digital traces. We construct our model by classifying social media text to the predetermined personality facet from Big Five personality traits, mapping the knowledge to the ontology model, and implementing the model as a platform dictionary. Our model is based on the Indonesian language, which to the best of our knowledge is the first in the subject area. The platform is running effectively by using a well-established sorting algorithm, called the radix tree. Our objective is to support psychological science in adapting to a new technological era.

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On identification of big-five personality traits through choice of images in a real-world setting

Halim

Zouq

2021

Multimed Tools Appl

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Personality assessment using multiple online social networks

Cited by 12 publications

References 35 publications

Business Rules Mining Using GUHA Method for the Personalization of Commercial Offers

Business Rules Mining Using GUHA Method for the Personalization of Commercial Offers

Personality Measurement Design for Ontology Based Platform using Social Media Text

On identification of big-five personality traits through choice of images in a real-world setting

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