Trustworthy AI: From principles to practices
The rapid development of Artificial Intelligence (AI) technology has enabled the deployment
of various systems based on it. However, many current AI systems are found vulnerable to …
of various systems based on it. However, many current AI systems are found vulnerable to …
Conversational information seeking
Conversational information seeking (CIS) is concerned with a sequence of interactions
between one or more users and an information system. Interactions in CIS are primarily …
between one or more users and an information system. Interactions in CIS are primarily …
Operationalizing the legal principle of data minimization for personalization
Article 5 (1)(c) of the European Union's General Data Protection Regulation (GDPR)
requires that" personal data shall be [...] adequate, relevant, and limited to what is necessary …
requires that" personal data shall be [...] adequate, relevant, and limited to what is necessary …
Privacy preserving text representation learning
Online users generate tremendous amounts of textual information by participating in
different online activities. This data provides opportunities for researchers and business …
different online activities. This data provides opportunities for researchers and business …
Evaluation in contextual information retrieval: Foundations and recent advances within the challenges of context dynamicity and data privacy
L Tamine, M Daoud - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Context such as the user's search history, demographics, devices, and surroundings, has
become prevalent in various domains of information seeking and retrieval such as mobile …
become prevalent in various domains of information seeking and retrieval such as mobile …
Protecting user privacy: An approach for untraceable web browsing history and unambiguous user profiles
The overturning of the Internet Privacy Rules by the Federal Communications Commissions
(FCC) in late March 2017 allows Internet Service Providers (ISPs) to collect, share and sell …
(FCC) in late March 2017 allows Internet Service Providers (ISPs) to collect, share and sell …
Metadata categorization for identifying search patterns in a digital library
Purpose For digital libraries, it is useful to understand how users search in a collection.
Investigating search patterns can help them to improve the user interface, collection …
Investigating search patterns can help them to improve the user interface, collection …
Federated online learning to rank with evolution strategies: a reproducibility study
Abstract Online Learning to Rank (OLTR) optimizes ranking models using implicit users'
feedback, such as clicks, directly manipulating search engine results in production. This …
feedback, such as clicks, directly manipulating search engine results in production. This …
Privacy through solidarity: A user-utility-preserving framework to counter profiling
Online service providers gather vast amounts of data to build user profiles. Such profiles
improve service quality through personalization, but may also intrude on user privacy and …
improve service quality through personalization, but may also intrude on user privacy and …
Query Obfuscation for Information Retrieval Through Differential Privacy
G Faggioli, N Ferro - European Conference on Information Retrieval, 2024 - Springer
Protecting the privacy of a user querying an Information Retrieval (IR) system is of utmost
importance. The problem is exacerbated when the IR system is not cooperative in satisfying …
importance. The problem is exacerbated when the IR system is not cooperative in satisfying …