@article {14509,
	title = {Context-Aware Query Recommendations},
	volume = {12/408,726},
	year = {2010},
	month = {2010/09/23/},
	abstract = {Described is a search-related technology in which context information regarding a user{\textquoteright}s prior search actions is used in making query recommendations for a current user action, such as a query or click. To determine whether each set or subset of context information is relevant to the user action, data obtained from a query log is evaluated. More particularly, a query transition (query-query) graph and a query click (query-URL) graph are extracted from the query log; vectors are computed for the current action and each context/sub-context and evaluated against vectors in the graphs to determine current action-to-context similarity. Also described is using similar context to provide the query recommendations, using parameters to control the similarity strictness, and/or whether more recent context information is more relevant than less recent context information, and using context information to distinguish between user sessions.},
	url = {http://www.google.com/patents?id=nubWAAAAEBAJ},
	author = {Ntoulas,Alexandros and Hwang,Heasoo and Getoor, Lise and Paparizos,Stelios and Lauw,Hady Wirawan},
	editor = {Microsoft Corporation}
}
