A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
Constraint-Based Personalization For Business Applications
2011
International Business & Economics Research Journal
Preserved Fulltext
Since the summer of 2001, the author, his colleagues, and his research assistants, have been conducting applied research aimed at discovering the desired personalization models and effects to support collaborative ...
The Wise Net Inc. has developed an intelligent agent framework specifically for providing advanced scalable collaborative capabilities for easy integration with existing web-enabled enterprise applications ...
The current phase of the project is focusing on basic intelligent agent and personalization features automating channel selection, calendaring, and forms handling. ...
doi:10.19030/iber.v1i5.3918
fatcat:j2hmlyf6yba5bl5uzchayya2u4
Preface to the special issue on data mining for personalization
2008
User modeling and user-adapted interaction
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Data mining is one of the key technologies used in various stages of this personalization process, especially in building user models and delivering personalized offerings to the users. ...
The process of personalization comprises iterative invocations of the personalization cycle consisting of the stages of understanding the user and building user profiles and models; delivering personalized ...
discovered preference models and user profiles. ...
doi:10.1007/s11257-008-9060-2
fatcat:wktxkjytsbgnbhdevplo6s6wwu
Privacy concerns arising from internet service personalization filters
2016
Computers & society
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
of the personal behavior predicting properties of the user model itself. ...
Personal service customization, or personalization, is one of the core tools that are being used by on-line providers of information services such as search engines, social media, news sites and product ...
Other frequently used sources of data for tuning the user profile models include data concerning the behavior and preferences of people within the social network of the user [5] . ...
doi:10.1145/2874239.2874263
fatcat:pbux3tb5kng4dl3ppwgi3xgkr4
Current developments in delivering customized care: a scoping review
2021
BMC Health Services Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Four categories of patient characteristics used for segmentation analysis emerged: clinical, psychosocial, service and costs. ...
Two investigators independently searched MEDLINE, PubMed, PsycINFO, Web of Science, Science Direct and JSTOR, The search was focused on articles that included "care customization", "personalized service ...
: 1
Essential care model: 1
Individualized care: 6
Inter-organizational collaboration: 1
Modularity service: 1
Optimization of personalized assortments: 1
Organizational approach of diversity ...
doi:10.1186/s12913-021-06576-0
pmid:34120603
fatcat:ng7hm5p3zfhu5iy6debs7jmmoy
Personalized and mobile digital TV applications
2007
Multimedia tools and applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Personalization is achieved with the employment of algorithms and data collection schemes that predict and recommend to television viewers content that match their interests. ...
Moreover, we present a critical survey of the most prominent research and provide directions for further research in personalized and mobile digital TV (DTV) applications. ...
Aroyo et al. model users upon three types of data collected either explicitly or implicitly: personal data (age, gender, etc.), media and content preferences; current contextual information (time, location ...
doi:10.1007/s11042-006-0081-8
fatcat:ii7qyuyvnfhobdumbm4mujouhe
User Agents for Matching Privacy Policies with User Preferences
2012
Journal of clean energy technologies
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
This paper surveys user agents that automatically fetch and compare privacy policies with privacy preferences, in order to help the end-user understand the implications of personal data disclosure. ...
Privacy policies are commonly used by service providers to state how personal data obtained from users will be handled. ...
To enable the users to understand the implications of personal data disclosure and to make well-informed decisions, there is a need for tools informing them about the privacy policies of the online services ...
doi:10.7763/ijcte.2012.v4.506
fatcat:g4qf5qn53zghnke2dkaee23vba
Travel Data Sequence from Multi-Source Recommendation System
2018
International Journal of Engineering & Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We implemented a location recommendation system that derives personal preferences while accounting for restraints irremissibly by road capacity in order to change the demand of travel. ...
We first infer unobserved preferences using a machine learning technique from data mining records. It extends our method to provide personalized suggestions based on user geo co-ordinates points. ...
Location-based User Modeling Personalized services obtained based on users profile/model information. ...
doi:10.14419/ijet.v7i4.6.20242
fatcat:pmxochrkavgf5bcfaxdzhqq2cq
Systematic Review of Emerging Models of Cancer Care: Implications for the Health Industry
2017
Journal of Integrative Oncology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Unit Model discussed in the next section; and 5) understanding the role of government agencies like the National Institutes of Health (NIH), Centers for Medicare and Medicaid Services (CMS), and the Food ...
The P4 model, predictive, preventive, personalized, and participative, directly relates to the rapid learning health systems [17] . ...
The integrated practice unit model for cancer The shift from fee-for-service to value-based care is underway. ...
doi:10.4172/2329-6771.1000196
fatcat:pyqzm6g32vevxn4xejnqi2oddu
Person-Centred Care Interventions in Pharmaceutical Care
[chapter]
2022
Intelligent Systems Reference Library
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The last section examines E-pharmacy services and the implementation of telepharmacy with implications for person-centred care. ...
The second section focuses on the professionals and explores the role of person-centred pharmaceutical care as part of multi-disciplinary health services delivery teams. ...
The chapter concluded with an overview of telemedicine and e-pharmacy or telepharmacy services, with implications for person-centred care. scientists to grow their ideas by sharing them with their peers ...
doi:10.1007/978-3-030-79353-1_4
fatcat:yjn3rnn5gfgfpmtue4v2uovt4e
A Survey on Personal Data Cloud
2014
The Scientific World Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Personal data represent the e-history of a person and are of great significance to the person, but they are essentially produced and governed by various distributed services and there lacks a global and ...
In recent years, researchers pay attention to Personal Data Cloud (PDC) which aggregates the heterogeneous personal data scattered in different clouds into one cloud, so that a person could effectively ...
If PDC exists, the personal data represents a user's history and preferences (namely, his personalized requirements on services); therefore, it is easy to conduct the completely personalized collaborations ...
doi:10.1155/2014/969150
pmid:25165753
pmcid:PMC4138938
fatcat:wsyekb7vcnc3jliqzvngg4obhu
Combining Personal Ontology and Collaborative Filtering to Design a Document Recommendation System
2009
Journal of Service Science and Management
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
In our research, we design a recommendation system based on personal ontology and collaborative filtering technologies. ...
The recommendation system is designed based on personal preferences. It can recommend the fittest information to users, and it would help users to obtain information more conveniently and quickly. ...
In this module, user should select 5 preferred documents and score from 1 to 5 for each keyword in the documents to show their preference degree. 3) Collaborative filtering module For the collaborative ...
doi:10.4236/jssm.2009.24038
fatcat:o6l257zgm5b7pplearymae3ojm
A computational geometry approach to Web personalization
2004
Proceedings. IEEE International Conference on e-Commerce Technology, 2004. CEC 2004.
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
It offers a real-time solution for the delivery of personalized services in online shopping environments, since it allows on-line consumers to model their preferences along multiple dimensions, search ...
for product information, and then use the clustered list of products and services retrieved for making their purchase decisions. ...
For d 3 dimensions a simple solution is given in [2]
Implications and conclusion In this paper we presented an algorithm for personalized clustering that improves the k-means range algorithm by using ...
doi:10.1109/icect.2004.1319762
dblp:conf/wecwis/RigouST04
fatcat:ruylsutnrzc4fofpjwzkaakr5q
Survey on Personalized Web Recommender System
2018
International Journal of Information Engineering and Electronic Business
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This paper performs a survey on different approaches available for recommender system and performs a comparative analysis of different algorithms. ...
Recommender system handles Information straining problem and improve customer correlation by providing best services. ...
A Location-Aware Personalized Collaborative Filtering for Web Service Recommendation has been used. ...
doi:10.5815/ijieeb.2018.04.05
fatcat:foiszfy3c5ge3kgqlifio256tq
An agent-based framework for secure and privacy-preserving personalized information services
2006
Revista Colombiana de Computación
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Personalized services, however, bring about additional requirements related to privacy and security, which have to be addressed if the services are to become widely accepted. ...
In order to attract and satisfy customers, these services must offer added value e.g. by delivering personalized information in a seamless and multi-modal way. ...
We are currently working on the implementation of additional community services for connecting users with similar interests and preferences. ...
doaj:da84ca6c0c81446588574ba84c1db474
fatcat:fd2uimubm5brrpxruohdfy3syq
Information behaviour of scholars
2015
Libellarium: Journal for the Research of Writing, Books, and Cultural Heritage Institutions
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
services, crosssearch engines Some implications for information tools and services (2) • ALA/ACRL: • "Top 10 trends in academic libraries" •• See: Palmer&Cragin (2008) Scholarship and disciplinary practices ...
stores of digital literature and data for use by current and future researchers." ...
doi:10.15291/libellarium.v7i1.194
fatcat:ccs4hxgw6fen3g2dvitgxai72m
« Previous
Showing results 1 — 15 out of 177,803 results