A Scalable Framework Using Spatial Inverted Index for Context Aware Query Suggestion

Abstract

keyword suggestion has become one of the most fundamental features of commercial web search engines. After submitting a keyword query, the user may not be satisfied with the results, so the keyword suggestion module of the search engine recommends a set of m keyword queries that are most likely to refine the user’s search in the right direction. Existing keyword suggestion techniques do not consider the locations of the users and the query results; i.e.,the spatial proximity of a user to the retrieved results is not taken as a factor in the recommendation.