Invention Grant
- Patent Title: Estimating confidence for query revision models
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Application No.: US14737720Application Date: 2015-06-12
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Publication No.: US09697249B1Publication Date: 2017-07-04
- Inventor: David R. Bailey , Alexis J. Battle , Benedict A. Gomes , P. Pandurang Nayak
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06F7/00
- IPC: G06F7/00 ; G06F17/30

Abstract:
An information retrieval system includes a query revision architecture that integrates multiple different query revisers, each implementing one or more query revision strategies. A revision server receives a user's query, and interfaces with the various query revisers, each of which generates one or more potential revised queries. The revision server evaluates the potential revised queries, and selects one or more of them to provide to the user. A session-based reviser suggests one or more revised queries, given a first query, by calculating an expected utility for the revised query. The expected utility is calculated as the product of a frequency of occurrence of the query pair and an increase in quality of the revised query over the first query.
Information query