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• 193 creator laszlo-toeroek.
• 193 creator martin-hepp.
• 193 type InProceedings.
• 193 label "Towards Portable Shopping Histories: Using GoodRelations to Expose Ownership Information to E-Commerce Sites".
• 193 sameAs 193.
• 193 abstract "Recommender systems are an important technology component for many e-commerce applications. In short, they are technical means that suggest potentially relevant products and services to the users of a Web site, typically a shop. The recommendations are computed in advance or during the actual visit and use various types of data as input, in particular past purchases and the purchasing behavior of other users with similar preferences. One major problem with recommender systems is that the quality of recommendations depends on the amount, quality, and representativeness of the in-formation about items already owned by the visitor, e.g. from past purchases at that particular shop. For first-time visitors and customers migrating from other merchants, the amount of available information is often too small to generate good recommendations. In other words, shopping history data for a single user is fragmented and spread over multiple sites, and cannot be actively exposed by the user himself to additional shops. This creates strong lock-in effects for consumers, because they cannot migrate from one merchant to another without losing access to high-quality recommendations, and it creates strong market entry barriers for new merchants, since they do not have access to the customers’ shopping history with other shops. In this paper, we propose to use Semantic Web technology, namely GoodRelations and schema.org, to empower e-commerce customers to (1) collect and manage ownership information about products, (2) advertise interest in sharing this information with shop sites in exchange for better recommendations or oth-er incentives, and (3) expose the information to such shop sites directly from their browser. We then sketch how a shop site could use the ownership infor-mation to propose relevant products.".
• 193 hasAuthorList authorList.
• 193 isPartOf proceedings.
• 193 keyword "E-Commerce".
• 193 keyword "GoodRelations".
• 193 keyword "RDF".
• 193 keyword "RDFa".
• 193 keyword "Recommender Systems".
• 193 keyword "Semantic Web".
• 193 keyword "schema.org".
• 193 title "Towards Portable Shopping Histories: Using GoodRelations to Expose Ownership Information to E-Commerce Sites".