| 摘要 |
User input on a computing device can be intelligently predicted using one or more learning algorithms. When user text input is received, an input repository comprising a plurality of text items is accessed. The plurality of text items includes a plurality of user-specific text items, which are classified according to a probabilistic model. One or more input predictions are inferred by applying the probabilistic model to the user text input. A suggested text input is presented using an output element of the computing device. The suggested text input is based on the user text input and one or more text items from the input repository. Additional input is received which overrides the suggested text. Any text associated with the user override is then classified within the probabilistic model, thereby updating the input repository based on the user override. |
