Application of Spreading Activation Techniques in InformationRetrieval
Artificial Intelligence Review
Scaling personalized web search
WWW '03 Proceedings of the 12th international conference on World Wide Web
Personalization versus Privacy: An Empirical Examination of the Online Consumer's Dilemma
Information Technology and Management
An architecture for privacy-enabled user profile portability on the web of data
Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems
dbrec: music recommendations using DBpedia
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
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Cross-domain recommendations are currently available in closed, proprietary social networking ecosystems such as Facebook, Twitter and Google+. I propose an open framework as an alternative, which enables cross-domain recommendations with domain-agnostic user profiles modeled as semantic interest graphs. This novel framework covers all parts of a recommender system. It includes an architecture for privacy-enabled profile exchange, a distributed and domain-agnostic user model and a cross-domain recommendation algorithm. This enables users to receive recommendations for a target domain (e.g. food) based on any kind of previous interests.