| 摘要 |
Systems and methods are disclosed for improving search results returned to a user from one or more domains, utilizing query features learned locally on the user's device. One or more domains can inform a computing device of one or more features related to a search query upon which to the computing device can apply local learning. A local search system can include a local database, a local search history and feedback history database, and a local learning system to identify features about query terms. The features can be learned from the user's interaction with both local search results and remote search results, without sending the user interaction information or other user identification information to a remote search engine. A locally learned feature can be used to extend a query, bias a query term, or filter query results. |
| 主权项 |
1. A computer-implemented method, comprising:
learning, on a computing device, a feature related to a search query, wherein the feature is learned, at least in part, using information generated on, and private to the computing device; transmitting, to a remote search engine, a search query and an indication of the feature; and receiving, by the computing device, search results responsive to the search query and the indication of the feature. |
