Towards MANET‑based Recommender Systems for Open Facilities
- Nowadays, 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.
Author: | Jürgen DunkelGND, Ramón HermosoORCiD |
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URN: | urn:nbn:de:bsz:960-opus4-21418 |
DOI: | https://doi.org/10.25968/opus-2141 |
DOI original: | https://doi.org/10.1007/s10489-021-03117-4 |
ISSN: | 0924-669X |
Parent Title (English): | Applied Intelligence |
Document Type: | Article |
Language: | English |
Year of Completion: | 2021 |
Publishing Institution: | Hochschule Hannover |
Release Date: | 2022/01/03 |
Tag: | Context-aware recommender systems; Location-based systems; MANET; Open systems; ad-hoc networks |
GND Keyword: | Empfehlungssystem; Ad-hoc-Netz; Sensorsystem; Offenes Kommunikationssystem; Standortbezogener Dienst |
Volume: | 2021 |
Page Number: | 22 |
Link to catalogue: | 1821540174 |
Institutes: | Fakultät IV - Wirtschaft und Informatik |
DDC classes: | 004 Informatik |
Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |