Context-aware query recommendations

• Main Authors: NTOULAS, Alexandros, HWANG, Heasoo, GETOOR, Lise, PAPARIZOS, Stelios, LAUW, Hady Wirawan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2010
• Subjects: Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/3674; https://ink.library.smu.edu.sg/context/sis_research/article/4676/viewcontent/US20100241647.pdf
• Institution: Singapore Management University

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.