An apparatus, method, and non-transitory computer readable medium are provided for accessing data on a phone that is inaccessible. The apparatus includes a memory configured to store a plurality of contact profiles in a contact list corresponding to an inaccessible device, and a processor coupled to the memory. The apparatus receives, from an unknown device over a voice connection, an access identifier corresponding to the inaccessible device and a contact identifier associated with a contact profile of the plurality of contact profiles; identifies the contact list based on matching the access identifier with the inaccessible device; determines a contact device of the contact profile in the contact list corresponding to the contact identifier; and connects, over the voice connection, the unknown device to the contact device corresponding to the contact profile.

An apparatus, method, and non-transitory computer readable medium are provided for accessing data on a phone that is inaccessible. The apparatus includes a memory configured to store a plurality of contact profiles in a contact list corresponding to an inaccessible device, and a processor coupled to the memory. The apparatus receives, from an unknown device over a voice connection, an access identifier corresponding to the inaccessible device and a contact identifier associated with a contact profile of the plurality of contact profiles; identifies the contact list based on matching the access identifier with the inaccessible device; determines a contact device of the contact profile in the contact list corresponding to the contact identifier; and connects, over the voice connection, the unknown device to the contact device corresponding to the contact profile.

Embodiments of the present disclosure generally relate to organizing textual responses, such as survey responses. More specifically, one or more embodiments of the present disclosure provide a reviewer with textual responses that are prioritized according to usefulness. As an example, one or more embodiments of the present disclosure provide a reviewer with a notability value that provides an indication of the usefulness and/or interestedness of a response in relation to other responses for a particular open or textual type question.

Embodiments of the present disclosure generally relate to organizing textual responses, such as survey responses. More specifically, one or more embodiments of the present disclosure provide a reviewer with textual responses that are prioritized according to usefulness. As an example, one or more embodiments of the present disclosure provide a reviewer with a notability value that provides an indication of the usefulness and/or interestedness of a response in relation to other responses for a particular open or textual type question.

User attribute data associated with a user may be used to resolve unresolved entities in connection with the performance of computer-based actions, e.g., actions resulting from action queries generated based at least in part on content being accessed on a computing device.

There is disclosed a computer-implemented method of generating a content recommendation for a user of an electronic device, the method executable by a recommendation, the content recommendation being associated with a content item available at one of a plurality of network resources accessible via the communication network. The method comprises: executing a first machine learning algorithm module in order to determine a sub-set of recommended content sources from a plurality of possible content sources that is based on at least some of a first sub-set of user-specific content sources and a generated second sub-set of user-non-specific content sources; analyzing the sub-set of recommended content sources to select a plurality of potentially-recommendable content items; executing a second machine learning algorithm module in order to select, from the plurality of potentially-recommendable content items, at least one recommended content item; the selection being made on the basis of a user-profile-vector.

Various systems and methods are provided for performing soft entity resolution. A plurality of data objects are retrieved from a plurality of data stores to create aggregated data objects for one or more entities. One or more retrieved data objects may be associated with the same entity, based at least in part upon one or more attribute types and attribute values of the data objects. In response to a determination that the one or more of the retrieved data objects should be associated with the same entity, metadata is generated that associates the data objects with the entity, the metadata being stored separately from the data objects, such that the underlying data objects remain unchanged. In addition, one or more additional attributes may be determined for the entity, based upon the data objects associated with the entity.

Various systems and methods are provided for performing soft entity resolution. A plurality of data objects are retrieved from a plurality of data stores to create aggregated data objects for one or more entities. One or more retrieved data objects may be associated with the same entity, based at least in part upon one or more attribute types and attribute values of the data objects. In response to a determination that the one or more of the retrieved data objects should be associated with the same entity, metadata is generated that associates the data objects with the entity, the metadata being stored separately from the data objects, such that the underlying data objects remain unchanged. In addition, one or more additional attributes may be determined for the entity, based upon the data objects associated with the entity.

Embodiments are directed to a watched questions threshold filtering system that functions to determine and deliver to a user relevant and significant data changes with respect to a user's goals, as defined by a notification threshold value provided by the user. The user is provided with an option to flag one or more queries for automatic re-querying. Confidence scores are processed on new data (i.e., data ingested after the original question was asked) by utilizing a confidence threshold for indicating if the new data warrants alerting a user.

One embodiment provides a method, including: receiving an indication of an addition of a new participant in a textual communication between at least two existing participants; identifying at least one confidential topic contained within the textual communication by (i) parsing the textual communication and (ii) identifying at least one topic contained within the textual communication; the identifying comprising (i) accessing a confidentiality graph comprising (a) nodes representing participants and (b) edges representing confidential concepts that are acceptable discussion topics between participants connected by a corresponding edge and (ii) determining that an edge corresponding to the at least one confidential topic does not connect the new participant with both of the existing participants; and alerting one of the existing participants that the at least one confidential topic is included in the textual communication to be sent to the new participant.