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About 10,000 papers for “Personalization”

Personalization

Sarah Carr, Mike Fisher · 2009

This entry is an introduction to the concept of personalization in social care. Personalization is a way of expressing a value-based concept that is driving much of current Western welfare reform in adult services, and the specific use of the term is most notable in United Kingdom policy. In essence, the approach means starting with the individual as a person with strengths and preferences who may have a network of support and resources, which can include family and friends. Clients may have their own funding sources or be eligible for state funding. The challenge is to develop services and systems that are responsive to the individual person and that promote choice and control rather than fitting the person into traditional patterns of provision. Personalization reinforces the idea that individuals are best placed to know what they need and how those needs can be best met. The literature relating to personalization is currently emerging, both for practice and for policy. The research base to date has mainly focused on personal and individual budget schemes, but this entry also includes references to literature discussing implications for wider social care practice and policy reform issues.

Cited by 0

Personalization

Turow, Joseph · ScholarlyCommons (University of Pennsylvania) · 2017

Cited by 0Open access

Personalization

Juan Danculovic, Gustavo Rossi, Daniel Schwabe et al. · 2008

In this paper we present some patterns we mined in Web applications that present some kind of personalized structure or behavior. We first introduce the growing need to include personalization features in Web applications and present a taxonomy for reasoning about design structures for personalization. Finally, we present 4 personalization patterns:

Cited by 0

Personalization

Joseph Turow · ScholarlyCommons (University of Pennsylvania) · 2017

Cited by 0

Personalization

Robinson, Ashley, Rosson, Chester, Pochu, Pramodh et al. · VTechWorks (Virginia Tech) · 2015

This module addresses Personalization standards that may be appropriate in the context of a digital library, along with its approaches, effects, limitations, and challenges.

Cited by 0

Personalization

Ashley Robinson, Chester Rosson, Pramodh Pochu et al. · VTechWorks (Virginia Tech) · 2009

This module addresses Personalization standards that may be appropriate in the context of a digital library, along with its approaches, effects, limitations, and challenges.

Cited by 0

Conducting Personalization Design Workshops — Designing Personalization Procedures

Kazuki Kaneko, Yusuke Kishita, Yasushi Umeda · Procedia CIRP · 2021

Increasing demands for sustainability and advancements of information technology are transforming business. Personalization is widely regarded as a key concept of the new business paradigm. In order to popularize personalization, we have proposed a methodology for designing personalization procedures. This paper reports the results of workshops we conducted to design the personalization procedures based on the proposed methodology. We recruited participants openly and let them design a service of providing personalized coffee. In addition, we conducted similar workshops based on the popular service design methodology and compared the results to clarify the effectiveness of proposed methodology.

Cited by 0Open access

All Personalization

Bulletin of Miscellaneous Information (Royal Gardens Kew)

All Personalization offers the perfect decor for weddings, parties and events — shop the best personalized cardboard cutouts at our one stop online shop.

Cited by 0

Hyper-Personalization

Darshana Desai · Advances in marketing, customer relationship management, and e-services book series · 2021

Personalization is widely used to attract and retain customers in online business addressing one size fits all issues, but little is addressed to contextualise users' real-time needs. E-commerce website owners use these strategies for customer-centric marketing through enhanced experience but fail in designing effective personalization due to the dynamic nature of users' needs and pace of information exposure. To address this, this chapter explores hyper-personalization strategies to overcome users' implicit need to be served better. The research presents a hyper-personalization process with learning (ML) and artificial intelligence (AI) techniques for marketing functions like segmentation, targeting, and positioning based on real-time analytics throughout the customer journey and key factors driving effective customer-centric marketing. This chapter facilitates marketers to use AI-enabled personalization to address customers' implicit needs and leverage higher returns by delivering the right information at the right time to the right customer through the right channel.

Cited by 33

Reverse Personalization

Han-Wei Kung, Tuomas Varanka, Nicu Sebe · ArXiv.org · 2025

Recent text-to-image diffusion models have demonstrated remarkable generation of realistic facial images conditioned on textual prompts and human identities, enabling creating personalized facial imagery. However, existing prompt-based methods for removing or modifying identity-specific features rely either on the subject being well-represented in the pre-trained model or require model fine-tuning for specific identities. In this work, we analyze the identity generation process and introduce a reverse personalization framework for face anonymization. Our approach leverages conditional diffusion inversion, allowing direct manipulation of images without using text prompts. To generalize beyond subjects in the model's training data, we incorporate an identity-guided conditioning branch. Unlike prior anonymization methods, which lack control over facial attributes, our framework supports attribute-controllable anonymization. We demonstrate that our method achieves a state-of-the-art balance between identity removal, attribute preservation, and image quality. Source code and data are available at https://github.com/hanweikung/reverse-personalization .

Cited by 0Open access

Information personalization

Saverio Perugini, Website Transformation · 2008

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit:

Cited by 0