A Tailor made System for providing Personalized Services

Abstract

Abstract-Today, the existing technologies, such as smartphone and other pervasive devices, can be used for context awareness and help people to undertake conscious choices. In fact, unlike what happened in the past, all of these data are managed and contextualized for the particular application. We need to understand, select, treat and finally opportunely expose these data. In this scenario, there are many Context Aware applications. This paper introduces a tailor made system for providing personalized services and it is based on a graphical formalism for the context representation: the Context Dimension Tree.This system provides the needed information about places that are of great interest for the visitors, selecting them using user preferences. A case study is applied to an event in Salerno, an Italian town, called Artist's Lights. Finally, an experimental campaign has been conducted, obtaining interesting results.

Re-Enrichment Learning: Metadata Saliency for the Evolutive Personalization of a Recommender System

“…Wu et al (neural news recommendation with personalized attention (NPA)) [31] suggested personalized convolutional neural networks that adopt the embedding of user IDs as the queries of the correlations between words and news. The meta-context dimension tree (Meta CDT) was proposed for the selection of the most suitable contents and services for a user in a certain context, and was used in a practical context-aware application by Colace et al [32] and Casillo et al [33]. The approach has strength in tailoring the information domain according to the user's needs as well as in analyzing relevant features of context models.…”