Software Interestingness Trigger by Social Network Automation

Iaakov Exman, Avihu Harush, Yakir Winograd

2017

Abstract

Social Networking software is perceived as a fast way to engage people with potential interest in a certain activity. However, interestingness has been defined as a product of a domain relevance – arbitrarily determined by a person’s tastes – and a surprise – determined by how unexpected is an activity relative to average activities in the domain. Therefore, one must manage two unknowns to trigger the desired interestingness: the person tags and the activity description. The person tags are obtained from an application ontology characterizing the chosen domain. The activity description tries to generate surprises by sharpening what differentiates it from conventional activities. This paper describes a software tool based upon a social networking infra-structure and illustrates its quasi-automated usage with inputs of the relevant tags and the surprising activity for a specific domain, viz. marketing of an Event within a conference. Preliminary results are analysed and discussed at length.

Paper Citation

in Harvard Style

Exman I., Harush A. and Winograd Y. (2017). Software Interestingness Trigger by Social Network Automation.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-271-4, pages 326-333. DOI: 10.5220/0006591803260333

in Bibtex Style

@conference{kdir17,
author={Iaakov Exman and Avihu Harush and Yakir Winograd},
title={Software Interestingness Trigger by Social Network Automation},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
year={2017},
pages={326-333},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006591803260333},
isbn={978-989-758-271-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,
TI - Software Interestingness Trigger by Social Network Automation
SN - 978-989-758-271-4
AU - Exman I.
AU - Harush A.
AU - Winograd Y.
PY - 2017
SP - 326
EP - 333
DO - 10.5220/0006591803260333