Predicting user behavior using feedback on previously run predictive searches

摘要

Systems, methods, and devices use search terms, current state information, historical data, and expected location hints to predict where a user may be when a search may be relevant. In an embodiment, search terms entered on a first user computing device may be combined with location information resident on a second user computing device to determine where a user is likely to be and what results are likely to be relevant to a user in the future. In a further embodiment, relevant search terms indicative of time, such as “tomorrow” or “tonight,” and/or user-related information may also be used to return predictive search results. In a further embodiment, user-related information from other users may also be used to return predictive search results.

主权项

1. A first computing device, comprising:
a first network transceiver; and a processor coupled to the first network transceiver and configured with processor-executable instructions to perform operations comprising:
receiving a prediction request message from a second computing device comprising a second network transceiver;predicting a user behavior of a user associated with the computing device in response to the prediction request message;modifying the predicted user behavior based on received feedback on a previously run predictive search;generating a user behavior based search modifier based at least in part on the modified predicted user behavior, wherein the user behavior based search modifier is a message which includes information comprising one or more additional search terms with which to modify user-entered search terms before a search is conducted; andsending the user behavior based search modifier to the second computing device via the second network transceiver.