In this paper, the authors propose a novel forwarding strategy based on deep learning that can adaptively route interests/data packets through ethernet links without relying on the FIB table. The experiment was conducted as a proof of concept. They developed an approach and an algorithm that leverage existing intelligent forwarding approaches in…

Describes the use of a customized business case model to evaluate a current awareness service offered by the library of the Ontario Ministry of Finance (Canada). The article provides a practical model of the business case approach that can be used by special librarians to evaluate a variety of services. (Author/LRW)

Using statistical stereotypes may be a means of improving the effectiveness of information-filtering systems that are based on user profiles. Highlights include information and expert systems that use stereotypes, assigning users to stereotypes, integrating stereotypes into a model for information filtering, and future research. (Author/LRW)

Describes the design and implementation of a system for the selective dissemination of information (SDI) from news articles via the World Wide Web, in Chinese and English, that focuses on multi-language filtering tools and follows a client-server model. System architecture and user-interest modeling are discussed. (LRW)

Describes and evaluates a learning model for information filtering and selective dissemination of information which is an adaptation of the generalized probabilistic model of information retrieval. The model is based on the concept of uncertainty sampling that allows for relevance feedback both on relevant and nonrelevant documents. (Author/LRW)