Authors:
Iaakov Exman
;
Avihu Harush
and
Yakir Winograd
Affiliation:
The Jerusalem College of Engineering – JCE – Azrieli, Israel
Keyword(s):
Software, Interestingness, Trigger, Social Networking, Automation, Randomization, Keywords, Application Ontology, Knowledge Discovery, Message Frequency, Analytics, Marketing.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Foundations of Knowledge Discovery in Databases
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Software Development
;
Symbolic Systems
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 le
ngth.
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