Towards MANET-based Recommender Systems for Open Facilities

Author:

Dunkel Jürgen,Hermoso RamónORCID

Abstract

AbstractNowadays, most recommender systems are based on a centralized architecture, which can cause crucial issues in terms of trust, privacy, dependability, and costs. In this paper, we propose a decentralized and distributed MANET-based (Mobile Ad-hoc NETwork) recommender system for open facilities. The system is based on mobile devices that collect sensor data about users locations to derive implicit ratings that are used for collaborative filtering recommendations. The mechanisms of deriving ratings and propagating them in a MANET network are discussed in detail. Finally, extensive experiments demonstrate the suitability of the approach in terms of different performance metrics.

Funder

Universidad de Zaragoza

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On data minimization and anonymity in pervasive mobile-to-mobile recommender systems;Pervasive and Mobile Computing;2024-10

2. Distributed Data Minimization for Decentralized Collaborative Filtering Systems;Proceedings of the 24th International Conference on Distributed Computing and Networking;2023-01-04

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