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Towards Personalized Context-Aware Recommendation Agent in Mobile Social Networks

Authors:
Santipong Thaiprayoon
Herwig Unger

Keywords: friend recommendation; POI recommendation; intelligent personal agent; social network; Web 3.0

Abstract:
This paper proposes a personalized context-aware recommendation towards the development of an autonomous intelligent agent for an individual user on online social networks. The goal is to automatically provide personalized and context-dependent recommendations of a list of relevant items, including friends, points of interest, and advertisements, to a user in a current situation. The proposed agent is a mobile application that incorporates user contexts gathered by various mobile device sensors, including implicit and explicit data, to adapt suggestions to a user by understanding the semantic meaning of personal and location data. Web 3.0 technologies are also used to improve the production of intelligent recommendations through the power of AI techniques and decentralization. Users can communicate directly without relying on central authorities, which is beneficial for data protection and security.

Pages: 1 to 8

Copyright: Copyright (c) IARIA, 2022

Publication date: October 16, 2022

Published in: conference

ISSN: 2308-4340

ISBN: 978-1-68558-008-7

Location: Lisbon, Portugal

Dates: from October 16, 2022 to October 20, 2022