Multi-Country ∙ The Regulation of Commercial Profiling – A Comparative Analysis

Döhmann, Indra Spiecker genannt; Tambou, Olivia; Bernal, Paul; Hu, Margaret; Molinaro, Carlos Alberto; Negre, Elsa; Sarlet, Ingo Wolfgang; Mendes, Laura Schertel; Witzleb, Normann; Yger, Florian

doi:10.21552/edpl/2016/4/12

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…6 of the General Regulation, as a back-up plan when they cannot demonstrate the validity of the consent of the concerned person or if his/her valid consent was subsequently withdrawn. Given the obligation to disclose the legal grounds on which the operator acts at the time when personal data is collected, the company must decide before the initiation of data collection 46 , which are the legal grounds applicable to each of the purposes of personal data processing 47 and, should the data controller intend a later-on envisaged expansion of the initially-selected categories of processing purposes, based on consumer's consent 48 , the further requesting of consumer's specific (granular) consent remains essential 49 .…”

Section: Consumer's Freely Expressed Consent and Assumptions Of Coercionmentioning

confidence: 99%

Granularity and Specificity of Consent and Implications Thereof for the Data Controller in the Light of the Principle of ‘Purpose Limitation‘

Goicovici

2023

iele

View full text Add to dashboard Cite

The study discusses the problematics of the granularity and specificity of the data subject's consent, in the light of the principle of 'purpose limitation' when collecting and processing personal data while distinguishing between the imperatives deriving from the principle of purpose limitations (i) form those arising from the incidence of the principle of storage limitations (ii). These issues remain highly important in litigious hypotheses of processing personal data of customers collected and stored unlawfully, including in terms of post-verification of the processing purposes. Secondly, the study focuses on the limits of the purpose limitation principle, set out in Article 5 para. ( 1), (b) of the GDPR, including bifurcated components: personal data must, on the one hand, be collected for determined, explicit, and legitimate purposes, and, on the other hand, not to be further processed in a manner which becomes incompatible with the initial collecting purposes. We argue that the mentioned principle aims to delimit as clearly as possible the use of personal data by ensuring a balance between respect for the fundamental rights of data subjects in terms of privacy and data protection and the recognition of certain flexibility in favor of the operator in the management of such data, as imposed by digitalization and its inherent risks. In its second component, which is of particular interest to us in the present study, the purpose limitation principle seeks to define the extent to which personal data collected for a particular purpose may be reused by companies, since any processing after collection must be considered as 'further processing' and must therefore meet, with certain exceptions, the purpose-compatibility requirements.

show abstract

Section: Consumer's Freely Expressed Consent and Assumptions Of Coercionmentioning

confidence: 99%

Granularity and Specificity of Consent and Implications Thereof for the Data Controller in the Light of the Principle of ‘Purpose Limitation‘

Goicovici

2023

iele

View full text Add to dashboard Cite

show abstract

Improve Learner-based Recommender System with Learner’s Mood in Online Learning Platform

Tang

Abel²,

Negre³

2021

2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)

View full text Add to dashboard Cite

Learning with huge amount of online educational resources is challenging, especially when variety resources come from different online systems. Recommender systems are used to help learners obtain appropriate resources efficiently in online learning. To improve the performance of recommender system, more and more learner's attributes (e.g. learning style, learning ability, knowledge level, etc.) have been considered. We are committed to proposing a learner-based recommender system, not just consider learner's physical features, but also learner's mood while learning. This recommender system can make recommendations according to the links between learners, and can change the recommendation strategy as learner's mood changes, which will have a certain improvement in recommendation accuracy and makes recommended results more reasonable and interpretable.

show abstract

Towards the Privacy-Preserving of Online Recommender System in Collaborative Learning Environment

Tang¹,

Abel²,

Negre³

2020

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

View full text Add to dashboard Cite

Multi-Country ∙ The Regulation of Commercial Profiling – A Comparative Analysis

Cited by 3 publications

References 0 publications

Granularity and Specificity of Consent and Implications Thereof for the Data Controller in the Light of the Principle of ‘Purpose Limitation‘

Granularity and Specificity of Consent and Implications Thereof for the Data Controller in the Light of the Principle of ‘Purpose Limitation‘

Improve Learner-based Recommender System with Learner’s Mood in Online Learning Platform

Towards the Privacy-Preserving of Online Recommender System in Collaborative Learning Environment

Contact Info

Product

Resources

About