TY - GEN
T1 - Task-centric document recommendation via context-specific terms
AU - Sarnikar, Surendra
AU - Zliao, J. Leon
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/33847644923
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-33847644923&origin=recordpage
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 1577352947
SN - 9781577352945
VL - WS-06-12
SP - 38
EP - 43
BT - AAAI Workshop - Technical Report
T2 - 2006 AAAI Workshop
Y2 - 16 July 2006 through 17 July 2006
ER -