Described is a search-related technology in which context information regarding a user'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.
Databases and Information Systems
Data Management and Analytics
NTOULAS, Alexandros; HWANG, Heasoo; GETOOR, Lise; PAPARIZOS, Stelios; and LAUW, Hady Wirawan.
Context-aware query recommendations. (2010). 1-12. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3674
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