Proceedings ArticleDOI
Inferring emotional state of a user by user profiling
Bhushan S. Atote,Taranpreet Singh Saini,Mangesh Bedekar,Saniya Zahoor +3 more
- pp 530-535
Reads0
Chats0
TLDR
How the profile information is used to get the emotional state of a user and the main issues regarding user profiles are studied from the perspectives of these research fields are studied.Abstract:
User profiles are important in many areas in which it is essential to obtain knowledge about users of software applications. Knowledge about a user includes his likes, dislikes, even his emotional state can be determined by user profiling. In this paper we examine what information constitutes a user profile; and how the profile information is used to get the emotional state of a user. We also study the main issues regarding user profiles from the perspectives of these research fields.read more
Citations
More filters
Proceedings ArticleDOI
High-Performance Monitoring Sensors for Home Computer Users Security Profiling
TL;DR: This research tries to identify the monitoring factors and suggests a novel observation solution to create high-performance sensors to generate the user security profile for a home user concerning the user’s privacy.
Proceedings ArticleDOI
User Profiling for Web Personalization
TL;DR: In this article , the authors tackle the issue of delivering personalized information on the Web based on user profile, which is an important stage toward building computers more useful and reachable to a larger audience.
Proceedings ArticleDOI
User Profiling for Web Personalization
M. Sowbhagya,H. Yogish,G T Raju +2 more
TL;DR: This study tackles the issue of delivering personalized information on the Web based on user profile to make user actions more efficient by giving more personalized information.
Proceedings ArticleDOI
Two-Step User Profiling Framework Based on Terminal-cloud Collaboration
TL;DR: A framework for obtaining user profile based on collaboration between smart terminal devices and cloud servers is proposed, which reduces the amount of resources consumed on users' phones, while avoiding uploading too much data to the cloud servers.
References
More filters
Proceedings ArticleDOI
A Discussion of Privacy Challenges in User Profiling with Big Data Techniques: The EEXCESS Use Case
TL;DR: The ongoing EU-funded EEXCESS project is discussed as a concrete example of constructing user profiles with big data techniques and the approaches being considered for preserving user privacy.
Proceedings Article
Privacy-preserving location tracking of lost or stolen devices: cryptographic techniques and replacing trusted third parties with DHTs
TL;DR: A version of Adeona is built that uses OpenDHT as the third party service, resulting in an immediately deployable system that does not rely on any single trusted third party.
Book ChapterDOI
PersonisJ: mobile, client-side user modelling
TL;DR: PersonisJ is described, a user modelling framework that can support client-side personalisation on the Android phone platform and a demonstrator application that delivers a personalised museum tour based on client- side personalisation.
Book ChapterDOI
Model-driven design of Web applications with client-side adaptation
TL;DR: WebML is the basis of the specification of a generic e-learning system, collecting a large number of learning objects, while UML-Guide is used for building company-specific e- learning curricula.
Proceedings ArticleDOI
Your place or mine?: privacy concerns and solutions for server and client-side storage of personal information
Deirdre K. Mulligan,Ari Schwartz +1 more
TL;DR: While technology alone cannot prevent “bad actor” companies from misusing personal information, systems can be designed to help well-meaning companies build in privacy protections for users.