User Modeling and User-Adapted Interaction
Document generality: its computation for ranking
ADC '06 Proceedings of the 17th Australasian Database Conference - Volume 49
Toward a semantic granularity model for domain-specific information retrieval
ACM Transactions on Information Systems (TOIS)
One tag to bind them all: measuring term abstractness in social metadata
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
Document re-ranking by generality in bio-medical information retrieval
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
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When searching or browsing, a user may be looking for either very general information or very specific information. We explored predictors for characterizing the generality of six encyclopedia texts. We had human subjects rank-order the generality of the texts. We also developed statistics from analysis of word frequency and from comparison to a set of reference terms. We found a statistically significant relationship between the human ratings of text generality and our automatic measure.