Sharing CAM to Support Personalized Information Retrieval

The ability to provide the right resources in a given context is a key factor for the support of knowledge workers. The information provided about the resources is crucial for any information retrieval approach, and it should allow multiperspective descriptions of the resources. Enhancing these descriptions with information about the attention that users spend on such resources in a specific context will provide valuable additional information. The architecture proposed in this paper will allow to share and distribute contextualized attention metadata gathered with different user observation components to enable the integration of contextaware, personalized information retrieval services in arbitrary contexts and applications.