CLIENT INTENT IN AN INTEGRATED SEARCH ENVIRONMENT

摘要

Architecture that operates in combination with an integrated search framework to derive user intent associated with a search query, and then based on the derived intent, choose the search method: a local search on the current local device from which the search is initiated, a non-local search of data sources other than the local device, or both the local search and the non-local search. The query context can be derived to more effectively assess the query intent. The architecture employs predictive models trained with candidate features that enable the prediction of a singular intent (or degree of intent) in the integrated search environment. The models can be trained using historical and real-time features. A classifier is trained using the features. The user intent is then derived based on the classifier output and the search is performed accordingly.

主权项

1. A system, comprising:
a search component configured to receive a query as part of an integrated search process and to receive query context of the query; a classification component configured to generate a classification value for the query based on the candidate features of predictive models; an intent component configured to identify a degree of intent based on the classification value, wherein the search process is directed by the search component based on the degree of intent, to at least one of a local search or a non-local search; and at least one microprocessor configured to execute computer-executable instructions in a memory associated with the search component, the classification component, and the intent component.