Abstract: A technique is described herein for automatically logging journeys taken by a user, and then automatically classifying the purposes of the journeys. In one implementation, the technique obtains journey data from one or more movement-sensing devices as a user travels from a starting location to an ending location in a vehicle. The technique generates a set of features based on the journey data, and then uses a machine-trainable model (such as a neural network) to make its classification based on the features. The machine-trainable model accepts at least one feature that is based on statistical information regarding at least one aspect of prior journeys that the user has taken. Overall, the technique provides a resource-efficient solution that rapidly provides personalized results to individual respective users. In some implementations, the technique performs its personalization without sharing journey data with a remote server.

Abstract: A computer-implemented technique is described for using an automation tool to facilitate the preparation of a summary document, such as an expense report. In a first data path, a receipt-processing component generates receipt items based on images of physical receipts that a user captures using a camera. In a second data path, one or more transaction-processing systems forward transaction items to the automation tool upon their capture; the transaction items correspond to electronic records of transactions made by the user. The technique then generates a set of receipt-transaction (R-T) pairings by matching pairs of receipt items and transaction items that describe the same respective transactions. The technique then uses context information to supplement the R-T pairings, and generates a summary document that summarizes transactions made by the user based on the supplemented R-T pairings. In one case, the context information corresponds to calendar information specified in a user's electronic calendar.

Abstract: A computer-implemented technique is described for using an automation tool to facilitate the preparation of a summary document, such as an expense report. In a first data path, a receipt-processing component generates receipt items based on images of physical receipts that a user captures using a camera. In a second data path, one or more transaction-processing systems forward transaction items to the automation tool upon their capture; the transaction items correspond to electronic records of transactions made by the user. The technique then generates a set of receipt-transaction (R-T) pairings by matching pairs of receipt items and transaction items that describe the same respective transactions. The technique then uses context information to supplement the R-T pairings, and generates a summary document that summarizes transactions made by the user based on the supplemented R-T pairings. In one case, the context information corresponds to calendar information specified in a user's electronic calendar.

Abstract: A technique is described herein for automatically logging journeys taken by a user, and then automatically classifying the purposes of the journeys. In one implementation, the technique obtains journey data from one or more movement-sensing devices as a user travels from a starting location to an ending location in a vehicle. The technique generates a set of features based on the journey data, and then uses a machine-trainable model (such as a neural network) to make its classification based on the features. The machine-trainable model accepts at least one feature that is based on statistical information regarding at least one aspect of prior journeys that the user has taken. Overall, the technique provides a resource-efficient solution that rapidly provides personalized results to individual respective users. In some implementations, the technique performs its personalization without sharing journey data with a remote server.

Abstract: Methods and systems for generation of an index and Table-of-Contents (ToC) for videos based on user given labels or a combination of user input and automated indexing techniques are provided. According to one embodiment, an annotation tool and a video player are presented to individual subscribers/users of a video discovery and consumption service. Tags proposed by the subscribers to be associated with various portions of the video content are received, processed and integrated within a global ToC for the video. The service can assist subscribers that intend to tag a certain portion of video by automatically proposing suitable tags and portion boundaries. Subscribers can vote on the suitability of tags constituting the ToC. Responsive to a request to view video content, a customized ToC is presented to a subscriber which include labels selected from the global ToC in accordance with default tag selection/filtering criteria or filtering criteria specified by subscriber.

Abstract: Methods and systems for generation of an index and Table-of-Contents (ToC) for videos based on user given labels or a combination of user input and automated indexing techniques are provided. According to one embodiment, an annotation tool and a video player are presented to individual subscribers/users of a video discovery and consumption service. Tags proposed by the subscribers to be associated with various portions of the video content are received, processed and integrated within a global ToC for the video. The service can assist subscribers that intend to tag a certain portion of video by automatically proposing suitable tags and portion boundaries. Subscribers can vote on the suitability of tags constituting the ToC. Responsive to a request to view video content, a customized ToC is presented to a subscriber which include labels selected from the global ToC in accordance with default tag selection/filtering criteria or filtering criteria specified by subscriber.