Microsoft Corporation
GUIDED QUERY RECOMMENDATIONS

Abstract:

Disclosed are systems, methods, and non-transitory computer-readable media for guided query recommendations. A search system generates search query recommendations for a user based on activity data associated with the user. In one technique, the search system generates a search query recommendation based on a search query sequence identified from the activity data of the user. For example, the search query sequence is used as input into a machine learning model, such as a sequence to sequence model trained on historical search query sequences that resulted in a targeted action. In another technique, the search system generates a search query recommendation based on multi-session query data of the user. For example, the search system generates a multi-session embedding vector representing the multiple activity sessions of the user. The multi-session embedding vector is used as input in a classification model that assigns probability values to candidate search terms.