Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
This work outlines the design process of a user centered learning object repository. A repository should foster the development and acquisition of both generic and specific informa...
Personal Information Assistants that search on user’s behalf aim to fetch relevant documents on a regular basis. We have developed such assistant system and evaluated it using a...
Modeling user browsing behavior is an active research area with tangible real-world applications, e.g., organizations can adapt their online presence to their visitors browsing be...
Research on relevance feedback (RFB) in information retrieval (IR) has given mixed results. Success in RFB seems to depend on the searcher's willingness to provide feedback a...