A Trust-enhanced Recommender System application: Moleskiing

Source type: Paper (Proceedings of the 2005 ACM symposium on Applied computing)
Source URL: http://portal.acm.org/ft_gateway.cfm?id=1067036&type=pdf&coll=GUIDE&dl=GUIDE&CFID=23661867&CFTOKEN=34778420
Summary:
The author introduce a real world application, namely moleskiing.it, in which provides personalized recommendation based on a blog oriented architecture which collects user experiences on ski mountaineering and their opinions on other users. The goal of this system is to make ski mountaineering trips safer by letting user report current snow conditions of ski routes and presenting to every user only information entered by reliable users. Using trust metrics, it allows to present only relevant and reliable information according to the user's personal point of view of other authors trustworthiness. In addition, the system provides open information exchange architecture using Semantic Web formats. It guarantees interoperability among different ski mountaineering communities.

Related site: http://www.moleskiing.it/mski/home.do

Using Semantic Web formats it provides open information exchange architecture.