Query Suggestion and Data Fusion in Contextual Disambiguation
Milad Shokouhi, Marc Sloan, Paul Nathan Bennett, Kevyn Collins‐Thompson, Siranush Sarkizova · 2015
Queries issued to a search engine are often under-specified or ambiguous. The user's search context or background may provide information that disambiguates their information need in order to automatically predict and issue a more effective query. The disambiguation can take place at different stages of the retrieval process. For instance, contextual query suggestions may be computed and recommended to users on the result page when appropriate, an approach that does not require modifying the original query's results. Alternatively, the search engine can attempt to provide efficient access to new relevant documents by injecting these documents directly into search results based on the user's context.