The Web is a vast, dynamic source of information and resources. Because of its size and diversity, it is increasingly likely that if the information one seeks is not already there, it will be soon. Unfortunately, finding the right places to look, and persistently revisiting those places until the information is available is an onerous task. In this paper, we describe Do-I-Care (DICA), an agent that uses both technical and social mechanisms to ease the burden of locating "interesting" new information and resources on the Web. DICA monitors Web pages previously found by the agent's user to be relevant for any changes. It then compares these changes against a user model, classifies them as potentially interesting or not, and reports the interesting changes to the user. The user model is derived by accepting relevance feedback on changes previously found. Because the agent focuses on changes to known pages rather than discovering new pages, we increase the likelihood that the information ...

Abstract. In this paper, we propose an architecture that enables interactive ranking and filtering of search results in a digital library by taking under consideration their importance. The importance of a document is measured according to its popularity among the users of the digital library. Further search results manipulation can be performed after the creation of the corresponding list from the search engine and preferably in a different context, without any interaction with the server. A prototype implementation is also presented that demonstrates the functionality of the proposed architecture.