Representation of rules for relevant recommendations to online social networks users

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Abstract

In our prior work, we identified rules for use in recommendation algorithms on Online Social Network (OSN) in order to increase the relevance of content suggested to a user. The resulting recommendation algorithms filter out and prioritize event types for OSN users (such as photo posts by friends, status posts, shared content, etc.), and are thereby intended to reduce information overload. This paper proposes a representation of these rules in a requirements model of a OSN. This is interesting, because recommendation rules influence user behavior, which in turn influences future requirements. If there is a recommendation algorithm, then its behavior should be represented also in requirements models of the system. The paper makes two contributions. We define requirements that OSNs should satisfy in order to produce relevant recommendations of event types to users. We investigate whether an existing requirements modeling language (namely, i-star) can be used to model these requirements.

Original languageEnglish
Title of host publication2nd International Workshop on Artificial Intelligence for Requirements Engineering, AIRE 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages33-40
Number of pages8
ISBN (Print)9781509001255
DOIs
Publication statusPublished - 25 Nov 2015
Event2nd International Workshop on Artificial Intelligence for Requirements Engineering, AIRE 2015 - Ottawa, Canada
Duration: 24 Aug 2015 → …

Conference

Conference2nd International Workshop on Artificial Intelligence for Requirements Engineering, AIRE 2015
CountryCanada
CityOttawa
Period24/08/15 → …

Keywords

  • Algorithm design and analysis
  • Business
  • Clustering algorithms
  • Generators
  • Media
  • Privacy
  • Social network services

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  • Student Theses

    The Design of an Online Social Network and its Knowledge-Based Recommendation System

    Author: Bouraga, S., 21 Apr 2017

    Supervisor: Faulkner, S. (Supervisor), Jureta, I. (Supervisor), Castiaux, A. (President), Mouratidis, H. (External person) (Jury), Perini, A. (External person) (Jury), Kolp, M. (External person) (Jury) & Petit, M. (External person) (Jury)

    Student thesis: Doc typesDoctor of Sciences

    Cite this

    Bouraga, S., Jureta, I., & Faulkner, S. (2015). Representation of rules for relevant recommendations to online social networks users. In 2nd International Workshop on Artificial Intelligence for Requirements Engineering, AIRE 2015 - Proceedings (pp. 33-40). [7337626] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIRE.2015.7337626