Task-centric document recommendation via context-specific terms
Surendra Sarnikar, J. Leon Zliao · 2006
Context-specific document recommender systems rely on the accurate identification of context descriptors from unstructured textual information to identify highly relevant documents. In this paper, we propose two term-weighting measures, “normal distance ” and “adjusted inverse polysemy”, to enable the retrieval of relevant documents with higher precision. We analyze the performance of the proposed measures and present results with respect to a domain-specific corpus.