Title :
Measuring Generality of Documents
Author :
Shin, Hyun Woong ; Hovy, Eduard ; McLeod, Dennis ; Pryor, Larry
Author_Institution :
University of Southern Califonia
Abstract :
Most traditional Information Retrieval (IR) systems, including web search engines, operationalize "relevant" as the word frequency in a document of a set of keywords. Because of this limitation, traditional IR systems frequently retrieve irrelevant documents in response to a user’s request. In this paper, we propose a new criterion, "generality," that provides an additional basis on which to rank retrieved documents. The generality is a level of abstraction to retrieve results based on desired generality appropriate for a user’s knowledge and interests. We compared our generality quantification algorithm with human judges’ weighting of values to show that the developed algorithm is significantly correlated.
Keywords :
Computer science; Data engineering; Frequency; Humans; Information retrieval; Information science; Ontologies; Search engines; Testing; Web search;
Conference_Titel :
Data Engineering Workshops, 2006. Proceedings. 22nd International Conference on
Conference_Location :
Atlanta, GA, USA
Print_ISBN :
0-7695-2571-7
DOI :
10.1109/ICDEW.2006.77