Context-Aware Mobile Recommender System Based on Activity Patterns

Mendes, Nelson; Alves, Bruno; Paiva, Sara

doi:10.1109/mdm.2016.92

Cited by 2 publications

(1 citation statement)

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“…In [16], a solution has been proposed: an android widget that recommends apps, that through calls and SMS of user, depending on the day/hour of the week and also based on the past behavioral pattern of user activity. The recommendations can be extremely helpful for the user that finds information quicker and effortless.…”

Section: Related Workmentioning

confidence: 99%

A Tailor made System for providing Personalized Services

Casillo

Colace

Lemma

et al. 2017

International Conferences on Software Engineering and Knowledge Engineering

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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.

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Section: Related Workmentioning

confidence: 99%