Incorporating end-user preferences in predictive models

Author(s):  
Suchi Saria Saria ◽  
Daniel P. Robinson Robinson
Author(s):  
Tamara Babaian

Personalization has been identified as a key task to the success of many modern systems. As Riecken (2000, p. 28) writes in the editorial of the special issue of the Communications of the ACM devoted to this subject, “personalization means something different to everyone.” Personalization can take various forms; however, it can be broadly described as the set of mechanisms by which an application is tailored to a particular end user and his or her goal.


2020 ◽  
Author(s):  
Laurenda Honfozo ◽  
Laurent Adinsi ◽  
Alexandre Bouniol ◽  
Sounkoura Adetonah ◽  
Lora Forsythe ◽  
...  

Author(s):  
Laurenda Honfozo ◽  
Laurent Adinsi ◽  
Alexandre Bouniol ◽  
Sounkoura Adetonah ◽  
Lora Forsythe ◽  
...  
Keyword(s):  

2005 ◽  
Vol 1 (3) ◽  
pp. 137-143
Author(s):  
Nikos Manouselis ◽  
Andreas M. Maras

This paper presents the development of an agent-based Virtual Private Network (VPN) system that supports multimedia service brokering. The VPN agents employ multi-attribute preference models in order to represent the end-user preferences, and a multi-criteria decision making model to evaluate available services from network providers. A prototype multi-agent system demonstrating the proposed approach has also been implemented.


2018 ◽  
Vol 28 (6) ◽  
pp. 807-814 ◽  
Author(s):  
Tina M. Waliczek ◽  
Dave Byrne ◽  
Don Holeman

Rose (Rosa ×hybrida) breeders historically have bred plants based on what they personally have deemed attractive and traits required by growers to produce the crop successfully. End-user preferences were not formally considered in breeding decisions. The purpose of this study was to investigate growers’ and consumers’ opinions of roses available on the market and preferences for future roses coming into the market. A web-based survey tool was developed to measure the attributes consumers were considering in purchasing and growing rose plants, their knowledge of diseases and pests, and their hopes for new plants coming to market. A link was sent to horticultural group mailing lists as well as distributed through personal e-mail lists, Facebook, and a news release from Texas A&M University. The survey was posted for 4 months. It included ≈66 questions and took 30 minutes or more to complete. More than 2000 responses were received from rose growers and nursery consumers worldwide. The respondents preferred roses that were disease resistant, with fragrant, abundant, red, and everblooming flowers. The ideal height of the preferred rose shrubs was waist to shoulder-height. Differences were found in preferences between experienced rose growers and those who were not affiliated with rose associations on variables such as the need to use chemicals to manage diseases, the importance of foliage glossiness and large vs. small blooms, the value of roses in the garden setting, the level of difficulty roses pose in growing situations, and the willingness to pay more for a rose shrub in comparison with other garden plants. Differences also were found among age groups and preferences for flower color, fragrance, foliage color, and foliage glossiness. This information could be helpful in targeting marketing of roses.


2020 ◽  
Author(s):  
Lisa Strifler ◽  
Jan M. Barnsley ◽  
Michael Hillmer ◽  
Sharon E. Straus

Abstract Background: Implementation theories, models and frameworks offer guidance when implementing and sustaining healthcare evidence-based interventions. However, selection can be challenging given the myriad of potential options. We propose to develop a decision support tool to facilitate the appropriate selection of an implementation theory, model or framework in practice. To inform tool development, this study aimed to explore barriers and facilitators to identifying and selecting implementation theories, models and frameworks in research and practice, as well as end-user preferences for features and functions of the proposed tool.Methods: We used an interpretive descriptive approach to conduct semi-structured interviews with implementation researchers and practitioners in Canada, the United States and Australia. Audio recordings were transcribed verbatim. Data were inductively coded by a single investigator with a subset of 20% coded independently by a second investigator and analyzed using thematic analysis.Results: Twenty-four individuals participated in the study. Categories of barriers/facilitators, to inform tool development, included characteristics of the individual or team conducting implementation and characteristics of the implementation theory, model or framework. Major barriers to selection included inconsistent terminology, poor fit with the implementation context and limited knowledge about and training in existing theories, models and frameworks. Major facilitators to selection included the importance of clear and concise language and evidence that the theory, model or framework was applied in a relevant health setting or context. Participants were enthusiastic about the development of a decision support tool that is user-friendly, accessible and practical. Preferences for tool features included key questions about the implementation intervention or project (e.g., purpose, stage of implementation, intended target for change) and a comprehensive list of relevant theories, models and frameworks to choose from along with a glossary of terms and the contexts in which they were applied.Conclusions: An easy to use decision support tool that addresses key barriers to selecting an implementation theory, model or framework in practice may be beneficial to individuals who facilitate implementation practice activities. Findings on end-user preferences for tool features and functions will inform tool development and design through a user-centered approach.


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