Paper Info
Title
A Discussion of Privacy Challenges in User Profiling with Big Data Techniques: The EEXCESS Use Case
Abstract
User profiling is the process of collecting information about a user in order to construct their profile. The information in a user profile may include various attributes of a user such as geographical location, academic and professional background, membership in groups, interests, preferences, opinions, etc. Big data techniques enable collecting accurate and rich information for user profiles, in particular due to their ability to process unstructured as well as structured information in high volumes from multiple sources. Accurate and rich user profiles are important for applications such as recommender systems, which try to predict elements that a user has not yet considered but may find useful. The information contained in user profiles is personal and thus there are privacy issues related to user profiling. In this position paper, we discuss user profiling with big data techniques and the associated privacy challenges. We also discuss the ongoing EU-funded EEXCESS project as a concrete example of constructing user profiles with big data techniques and the approaches being considered for preserving user privacy.
Year
DOI
Venue
2013
10.1109/BigData.Congress.2013.13
BigData Congress
Keywords
Field
DocType
privacy issue,user profile,user profiling,rich information,eexcess use case,rich user profile,user privacy,big data techniques,associated privacy challenge,big data technique,concrete example,structured information,user interfaces,data privacy,data analysis
Recommender system,Data mining,User profile,Computer science,User modeling,Computer user satisfaction,Information privacy,User interface,Big data,User requirements document,Database
Conference
ISSN
ISBN
Citations 
2379-7703
978-0-7695-5006-0
3
PageRank 
References 
Authors
0.39
7
5
Name
Order
Citations
PageRank
Omar Hasan112013.39
Benjamin Habegger2314.35
Lionel Brunie3686126.62
Nadia Bennani45613.91
Ernesto Damiani53911416.18