Paper Info
Title
Operator implementation of Result Set Dependent KWS scoring functions
Abstract
A popular approach to hosting Keyword Search Systems (KWS) on relational DBMS platforms is to employ the Candidate Network framework. The quality of a Candidate Network-based search is critically dependent on the scoring function used to rank the relevant answers. In this paper, we first demonstrate, through detailed empirical and conceptual analysis studies, that the Labrador scoring function provides the best user relevance among contemporary Candidate Network scoring functions.
Year
DOI
Venue
2020
10.1016/j.is.2019.101465
Information Systems
Keywords
Field
DocType
Keyword search,RDBMS,Operators,Result ranking,Indexes
Codebase,SQL,Data mining,Ranking,Result set,Computer science,Implementation,Database engine,Operator (computer programming),Relational database management system
Journal
Volume
ISSN
Citations 
89
0306-4379
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Vinay100.34
Jayant R. Haritsa22004228.38