Name
Abstract | ||
|---|---|---|
Query logs provide a valuable resource for preference information in search. A user clicking on a specific resource after
submitting a query indicates that the resource has some relevance with respect to the query. To leverage the information of
query logs, one can relate submitted queries from specific users to their clicked resources and build a tripartite graph of
users, resources and queries. This graph resembles the folksonomy structure of social bookmarking systems, where users add
tags to resources. In this article, we summarize our work on building folksonomies from query log files. The focus is on three
comparative studies of the system’s content, structure and semantics. Our results show that query logs incorporate typical
folksonomy properties and that approaches to leverage the inherent semantics of folksonomies can be applied to query logs
as well. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/s13222-010-0004-8 | Datenbank-Spektrum |
Keywords | Field | DocType |
Random Graph, Cluster Coefficient, Small World Property, Query Word, Average Short Path Length | Data mining,Query language,Computer science,Web query classification,Query optimization,Web search query,World Wide Web,RDF query language,Query expansion,Information retrieval,Sargable,Spatial query,Database | Journal |
Volume | Issue | ISSN |
10 | 1 | 1610-1995 |
Citations | PageRank | References |
5 | 0.42 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dominik Benz | 1 | 500 | 21.61 |
| Andreas Hotho | 2 | 3232 | 210.84 |
| Robert Jäschke | 3 | 1011 | 56.90 |
| Beate Krause | 4 | 114 | 7.31 |
| Gerd Stumme | 5 | 4208 | 301.17 |