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 …

The First Workshop on Personalized Generative AI1 aims to be a cornerstone event
fostering innovation and collaboration in the dynamic field of personalized AI. Leveraging …

Personalized search is aimed at tailoring the search outcome to users; to this aim user
profiles play an important role: the more faithfully a user profile represents the user interests …

Recently, we have witnessed entity profiling (EP) becoming increasingly one of the most
important topics in information extraction, personalized applications, and web data analysis …

Ontology, as a standard (World Wide Web Consortium recommendation) for representing
knowledge in the Semantic Web, has become a fundamental and critical component for …

In this article, we propose a Latent Dirichlet Allocation–(LDA) based topic-graph probabilistic
personalization model for Web search. This model represents a user graph in a latent topic …

Personal agents gather information about users in a user profile. In this work, we propose a
novel ontology-based user profile learning. Particularly, we aim to learn context-enriched …

For embedded systems that rely on multiple power sources (MPS), power management must
distribute the power by matching the supply and demand in conjunction with the traditional …

(56) References Cited 2005/0267871 A1 12/2005 Marchisio et al. 2005/0278164 A1
12/2005 Hudson et al. US PATENT DOCUMENTS 2005/0278725 A1 12/2005 Kawamura et …

This paper suggests a hybrid query processing method for the effective retrieval of
personalized information on the Semantic Web. When individual requirements change, the …