The role of structured content in a personalized news service

Abstract

Digitalization of content and exponential growth of Internet and electronic commerce are changing the media industry. The availability of structured content enables new ways to produce and deliver information. This paper explains the role of semantic metadata in developing content for an adaptive news service in the SmartPush -project. In SmartPush, news content is categorized using semi-automatic tools and pre-defined vocabularies. Metadata enhanced content is then matched against user profiles to provide customers with a personalized news service. After providing the personalized news to the customer, SmartPush system adapts the personalization based on user feedback. This paper discusses the requirements of personalized content services and challenges in an approach based on structured metadata. We describe how supporting ontologies for the content were developed and maintained and what kinds of tools were developed to support the structured metadata creation. We also present some results of the pilot phase of the project and introduce some of the issues observed during the system implementation and in the performed field trial.

Location-based system: Comparative effects of personalization vs ease of use

“…Prior research on personalization advocates context-driven recommendations of services/products. Personalization helps users cope with information overload (Billsus and Pazzani, 1999;Jokela et al, 2001); in addition, people prefer receiving information or having experience relevant to themselves (Petty et al, 2000). Furthermore, personalization may positively affect users' attitudes towards a particular information service, increasing their tendency to use it repeatedly (Blom and Monk, 2003) and eventually enhancing user performance (Oulasvirta and Blom, 2008).…”

Personalisation in web computing and informatics: Theories, techniques, applications, and future research

“…"PointCast" is a personalised news delivering service, which was developed as a screen saver that displays headlines in customised categories (Ubois 1996). "SmartPush", news content is classified using semiautomatic tools, pre-defined vocabularies, and metadata to match against user profiles (Jokela et al 2001). Liang and Lai (2002) presented an approach that analysed browsing content and time to estimate user interests.…”

Semantic metadata in the publishing industry – technological achievements and economic implications

“…This can be achieved by applying so called mixed-initiative approaches, where machines and humans are interacting in feedback loops when compiling a product or service (i.e. Jokela et al 2001;Bomhardt 2004;Zhou et al 2007;Gao et al 2009;Knauf et al 2011;Malheiros et al 2012). Expressive metadata also stimulates purely algorithmic compilation of personalized products (i.e.…”