Title
AQUAM: automatic query formulation architecture for mobile applications
Abstract
When a user performs a web search, the first query entered will frequently not return the required information. Thus, one needs to review the initial set of links and then to modify the query or construct a new one. This incremental process is particularly frustrating and difficult to manage for a mobile user due to the device limitations (e.g. keyboard, display). We present a query formulation architecture that employs the notion of context in order to automatically construct queries, where context refers to the article currently being viewed by the user. The proposed system uses semantic metadata extracted from the web page being consumed to automatically generate candidate queries. Novel methods are proposed to create and validate candidate queries. Further two variants of query expansion and a post-expansion validation technique are described. Finally, insights into the effectiveness of our system are provided based on evaluation tests of its individual components.
Year
DOI
Venue
2008
10.1145/1543137.1543144
MUM
Keywords
Field
DocType
web page,mobile user,device limitation,evaluation test,candidate query,automatic query formulation architecture,proposed system,validate candidate query,mobile application,web search,query formulation architecture,query expansion,mobile search,web pages
Query optimization,Web search query,Query language,Query expansion,Information retrieval,Computer science,Sargable,Web query classification,Spatial query,Online aggregation
Conference
Citations 
PageRank 
References 
4
0.45
11
Authors
5
Name
Order
Citations
PageRank
Fotis Menemenis1171.48
Symeon Papadopoulos271471.01
Ben Bratu3343.70
Simon Waddington4264.96
Yiannis Kompatsiaris594786.09