Modelling a web site quality‐based recommendation system

Abstract

PurposeWeb site recommendation systems help to get high quality information. The modelling of recommendation systems involves the combination of many features: metrics of quality, quality criteria, recommendation criteria, user profile, and specific domain concepts, among others. At the moment of the specification of a recommendation system it must be guaranteed a right interrelation of all of these features. The purpose of this paper is to model a web site quality‐based recommendation system by an ontology network.Design/methodology/approachIn this paper, the authors propose an ontology network based process for web site recommendation modelling. The ontology network conceptualizes the different domains (web site domain, quality assurance domain, user context domain, recommendation criteria domain, specific domain) in a set of interrelated ontologies. Particularly, this approach is illustrated for the health domain.FindingsBasically, this work introduces the semantic relationships that were used to construct this ontology network. Moreover, it shows the usefulness of this ontology network for the detection of possible inconsistencies when specifying recommendation criteria.Originality/valueRecommendation systems based on ontologies that model the user profile and the domain of resources to be recommended are quite common. However, it is uncommon to find models that explicitly represent the criteria used by the recommender systems, that express the quality dimensions of resources and on which criteria are applied, and consider the user context at the moment of the query.

Compatibility of Firm Positioning Strategy and Website Content: Highest R&D Spending Firms in Turkey

“…Since websites play a crucial role, various studies examine corporate websites from different perspectives such as; website usability (Huang and Cappel, 2012), web based public relations (Kim et al, 2010b), website design (Jones and DeGrow, 2011;Jones, 2015), website accessibility (Al-Mouh and Al-Khalifa, 2016;Loiacono et al, 2009;Romano, 2002), meeting media/journalist needs (Coy, 2003), characteristics of e-commerce user-interface (Zhao et al, 2006), marketing communications (Perry and Bodkin, 2002), sustainable information published in websites (Kunz and Ratliff, 2014), e-recruiting for human resources (Lee, 2005;Young and Foot, 2005), home page content and purpose (Liu et al, 1997), privacy policies (Liu and Arnett, 2002), environmental responsibility (Kim et al, 2010a), corporate social responsibility (Smith and Alexander, 2013;Tang et al, 2015), brand equity (Argyriou et al, 2006), corporate identity communication (Mohammed et al, 2016) and systems offering high quality information (Edelweis et al, 2011). Besides only a few studies focus on strategic positioning via websites.…”