Abstract: Methods, systems, and apparatus, including computer-readable media, for predictively providing access to resources. In some implementations, a method includes receiving movement data indicating movement of a mobile device associated with a user while the mobile device approaches a resource is received. A credential of the user authorizes access to the resource. Based on the movement data, the movement of the mobile device is classified as corresponding to an attempt to access the resource. The mobile device is determined to be in proximity to the resource. Before the user interacts with the resource, the resource is caused to be unlocked or opened in response to determining that the credential of the user authorizes access to the resource, classifying the movement of the mobile device as corresponding to an attempt to access the resource, and determining that the mobile device is in proximity to the resource.

Abstract: Methods, systems, and apparatus, including computer-readable media, for predictively providing access to resources. In some implementations, a method includes receiving movement data indicating movement of a mobile device associated with a user while the mobile device approaches a resource is received. A credential of the user authorizes access to the resource. Based on the movement data, the movement of the mobile device is classified as corresponding to an attempt to access the resource. The mobile device is determined to be in proximity to the resource. Before the user interacts with the resource, the resource is caused to be unlocked or opened in response to determining that the credential of the user authorizes access to the resource, classifying the movement of the mobile device as corresponding to an attempt to access the resource, and determining that the mobile device is in proximity to the resource.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for inferring joins for data sets. In some implementations, a first data table and a second data table are identified. A first subset of records are selected from the first data table and a second subset of records are selected from the second data table. For fields of the first subset and the second subset, sets of feature values are generated indicating characteristics of the data in the fields. Based on the sets of feature values, one or more similarity score are determined, with each similarity score indicating a similarity of a column in the first data table with respect to a column in the second data table. Based on the one or more similarity scores, data indicating a recommendation to join one or more columns of the first data table with one or more columns of the second data table is provided for output by a computing device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for inferring joins for data sets. In some implementations, a first data table and a second data table are identified. A first subset of records are selected from the first data table and a second subset of records are selected from the second data table. For fields of the first subset and the second subset, sets of feature values are generated indicating characteristics of the data in the fields. Based on the sets of feature values, one or more similarity score are determined, with each similarity score indicating a similarity of a column in the first data table with respect to a column in the second data table. Based on the one or more similarity scores, data indicating a recommendation to join one or more columns of the first data table with one or more columns of the second data table is provided for output by a computing device.

Abstract: Methods, systems, and apparatus, including computer-readable media, for predictively providing access to resources. In some implementations, a method includes receiving movement data indicating movement of a mobile device associated with a user while the mobile device approaches a resource is received. A credential of the user authorizes access to the resource. Based on the movement data, the movement of the mobile device is classified as corresponding to an attempt to access the resource. The mobile device is determined to be in proximity to the resource. Before the user interacts with the resource, the resource is caused to be unlocked or opened in response to determining that the credential of the user authorizes access to the resource, classifying the movement of the mobile device as corresponding to an attempt to access the resource, and determining that the mobile device is in proximity to the resource.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving an enrollment biometric identifier of a user. Determining a matching threshold based on a characteristic of the enrollment biometric identifier of the user. Storing the matching threshold in an enrollment profile for the use in association with the enrollment biometric identifier.

Abstract: In one implementation, requirement client device receives an indication of a transaction. The client device determines risk profile information and a credential for the transaction. The risk profile information describes a location of the client device, a time associated with the transaction, and a transaction provider to complete the transaction Finally, the client device prompts for biometric input based on the location of the client device, the time associated with the transaction, the transaction provider to complete the transaction, and the credential.

Abstract: Methods, systems, and apparatus, including computer-readable media, for contextually relevant document recommendations. In some implementations, a computing device receives context data indicating physical context of a mobile device, the context data indicating a second device in proximity to the mobile device. The computing device identifies a first user associated with the mobile device, and identifies a second user associated with the second device. The computing device identifies a document that is predicted to be relevant to the first user. For example, the document may be identified from among multiple documents in a document collection based at least in part on records indicating document accesses associated with the second user. While the second device is in proximity to the mobile device, the computing device provides data indicating the document that is predicted to be relevant to the first user.

Abstract: Methods, systems, and apparatus, including computer-readable media, for document similarity analysis. In some implementations, first metadata identifying a first set of metadata objects that define characteristics of a first document is accessed. Second metadata identifying metadata objects that define characteristics of documents in a set of second documents is accessed. Similarity scores are generated indicating similarity of the second documents with respect to the first document. A similarity score for a second document is generated based on an amount of elements in common between (i) the first set of metadata objects and (ii) the set of metadata objects that define characteristics of the second document. A subset of the second documents is selected based on the similarity scores. Data indicating the selected subset of the second documents is provided to a client device.

Abstract: In some implementations, a system may control an environment in which biometric data is entered when a user enrolls data for a user account or authenticates after having enrolled user data. Enrollment and/or authentication may be required to occur under one or more conditions. In some implementations, data from an electronic device associated with a user may be used to determine whether conditions on enrollment and/or authentication have been satisfied.

Abstract: In some implementations, a system may control an environment in which biometric data is entered when a user enrolls data for a user account or authenticates after having enrolled user data. Enrollment and/or authentication may be required to occur under one or more conditions. In some implementations, data from an electronic device associated with a user may be used to determine whether conditions on enrollment and/or authentication have been satisfied.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving an enrollment biometric identifier of a user. Determining a matching threshold based on a characteristic of the enrollment biometric identifier of the user. Storing the matching threshold in an enrollment profile for the use in association with the enrollment biometric identifier.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving an enrollment biometric identifier of a user. Determining a matching threshold based on a characteristic of the enrollment biometric identifier of the user. Storing the matching threshold in an enrollment profile for the use in association with the enrollment biometric identifier.