Location-based Fast Recommendation Social Network

Iaakov Exman, Erez Nagar


Location-based response to queries has the potential to improve the quality of recommendations. But in order to actually improve quality one needs in addition to location-based, also time-dependent evaluation of the basis for recommendation. We propose the usage of opinion-ontologies – a short and sharp loosely structured subjective ontology – that can be transmitted in real-time and be integrated with previously received opinion-ontologies. This approach has been designed and implemented into a system with wireless smartphone clients and servers supporting information integration, evaluation and recommendation formulation. The approach has been tested with a prototype composed of existing software packages playing the needed roles in the designed system.


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Paper Citation

in Harvard Style

Exman I. and Nagar E. (2014). Location-based Fast Recommendation Social Network . In Proceedings of the 5th International Workshop on Software Knowledge - Volume 1: SKY, (IC3K 2014) ISBN 978-989-758-051-2, pages 55-62. DOI: 10.5220/0005167600550062

in Bibtex Style

author={Iaakov Exman and Erez Nagar},
title={Location-based Fast Recommendation Social Network},
booktitle={Proceedings of the 5th International Workshop on Software Knowledge - Volume 1: SKY, (IC3K 2014)},

in EndNote Style

JO - Proceedings of the 5th International Workshop on Software Knowledge - Volume 1: SKY, (IC3K 2014)
TI - Location-based Fast Recommendation Social Network
SN - 978-989-758-051-2
AU - Exman I.
AU - Nagar E.
PY - 2014
SP - 55
EP - 62
DO - 10.5220/0005167600550062