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DEXA
2010
Springer

Ranking Objects Based on Attribute Value Correlation

8 years 10 months ago
Ranking Objects Based on Attribute Value Correlation
There has been a great deal of interest in recent years on ranking query results in relational databases. This paper presents a novel method to rank objects (e.g., tuples) by exploiting the correlations among their attribute values. Given a query, each attribute value is assigned a score according to mutual occurrences with the query and its distribution status in the columns of the attribute. These attribute value scores are aggregated to get a final score for an object. Furthermore, a concept vector is proposed to provide a synopsis of the attribute value in a given database. A concept vector is utilized to get the similar objects. Experimental results demonstrate the performance of our ranking method, RAVC (Ranking with Attribute Value Correlation), in terms of search quality and efficiency.
Jaehui Park, Sang-goo Lee
Added 06 Dec 2010
Updated 06 Dec 2010
Type Conference
Year 2010
Where DEXA
Authors Jaehui Park, Sang-goo Lee
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