Personalization algorithms for portable personality

Abstract

With the advances in ubiquitous computing, there is an increasing focus on personalization of user information especially in web applications. Currently those personalized user profiles are scattered around the Internet, mostly stored for each individual website. Therefore, this prohibits the usage of those profiles in other environments such as shopping in local stores or sharing interests among people. The so-called Portable Personality focuses on the management and distribution of personalized profiles via mobile devices. This paper provides an overview of related factors, which are to be considered in a portable personality environment. We discuss common user profile categorization approaches and their possible representation. Moreover, we mention the current state-of-the-art of profile acquisition and management algorithms to obtain and handle personalized information. This also includes approaches towards portable profiles. At the end, profile merging and personalization algorithms are covered to handle the challenges of aggregate multiple profiles and personalized recommendations based on distributed (portable) profiles.

What Makes Consumers’ Intention to Purchase Paid Stickers in Personal Messenger? The Role of Personality and Motivational Factors

“…Therefore, research on recommending algorithms has been conducted ( Modarresi, 2016 ; Gorgoglione et al, 2019 ), as well as on how to reflect individual characteristics ( Wu et al, 2018 ; Jeong et al, 2020 ). Uhlmann and Lugmayr (2008) predicted users’ personalities according to the way they wrote e-mails, while Peltonen et al (2020) predicted personalities based on the use of applications on smartphones. Evans (2017) suggested that there is a schema of preferred genres of advertising and advertising music depending on personality.…”

Converging Data Storytelling and Visualisation

“…These affect how information is presented in new media. Today, media study theories extend towards smart media environments (Pogorelc et al 2012) and (Lugmayr et al 2009) and topics like personalization (Uhlmann and Lugmayr 2008).…”

Distributing the personal digital environment throughout your entertainment environment: handling personal metadata across domains

“…To provide a computer-readable form of 'personality' is still a major challenge and requires much research work across domains. However, we hope to extend the framework onto this level within the next years to come, and a first evaluation of algorithms has been performed in [30]. Currently, synchronization and versioning is based on the annotation of metadata with P2 tags.…”