Abstract: Systems and methods are disclosed for displaying information related to items in a store. Stock keeping unit (SKU) information for items in the store and combination information indicating which SKUs were sold together can be determined.

Abstract: Systems and methods for joining a video conference. A first function can be found, wherein the first function can interact with a user interface element and can be used to call a video conference bot. The first function can be replaced with a second function; wherein the second function can be used to call the video conference bot but may not interact with the user interface element. The second function can be used to join the video conference without interacting with the DOM.

Abstract: Methods and Systems for executing and monitoring content in a decentralized runtime environment.

Abstract: Systems and methods are disclosed for displaying information related to items in a store. Stock keeping unit (SKU) information for items in the store and combination information indicating which SKUs were sold together can be accepted. Dimension information and structure information for a neural network can be defined. The neural network can be trained using the combination information indicating which SKUs were sold together in a same combination to calculate weight values and bias values for the neural network.

Abstract: Methods and systems for determining cyber security related projects to implement. Cyber security related projects used to protect entity assets can be identified. A return on investment for each cyber security related project can be determined. An optimization programming problem algorithm can be solved to remove project redundancies. Cyber security related projects to implement can be determined.

Abstract: Methods and systems for predicting are disclosed. Records for transactions can be stored, each record comprising an indication identifying items involved in a transaction and an indication of a time elapsed between the transaction and a previous transaction. The records for transactions can be analyzed to produce a probability that the items will be involved in a next transaction.

Abstract: Systems and methods for predicting are described herein. A record for each of a plurality of events associated with user transactions can be stored. A sequential plurality of the events can be analyzed using a unidirectional long short term memory (LSTM) and first and second dense neural network layers configured to receive output from the LSTM network.

Abstract: Methods of providing network graphical representation of database records. Selecting the database records according to descriptive criteria. Identifying attributes of the record class and associating network nodes to instances of the attributes from the database records. Connecting the network nodes with network links that designate network nodes having common instances of the attributes.

Abstract: Methods and systems for providing a network graphical representation of database records. Database records of a record class can be selected according to descriptive criteria. An attribute of the record class can be identified from different data sources, and a network node can be associated to an instance of the attribute from the database records. The network node can be connected with a network link that designates the network node and comprises a common instance of the attribute, wherein the network link can be based on a co-occurrence of attribute values. Additional network nodes can be connected to other network nodes with network links that designate associations between the network nodes. The database records can be visualized using network nodes and network links.

Abstract: Methods and Systems for determining a probability of relevance for a new resume. Existing resumes that have a high probability of relevance for a position can be chosen. A vocabulary of words can be built. Each word can be mapped into a vector such that each existing resume can be represented by a sequence of vectors and each sentence and/or paragraph in the resume can be represented by a subsequence of vectors including a subset of the sequence of vectors. Data augmentation, including changing the order of subsequences in order to create additional resumes represented by subsequences, can be applied. A deep neural network can be trained using the subsequences that represent the existing resumes and the subsequences that represent the additional resumes. New resumes can be classified using a trained deep neural network. A relevant resume can be output using the trained deep neural network.

Abstract: A method for screening documents. The order of the text in the documents can be changed in order to create additional documents. A vocabulary of words from the text in the documents can be built. The words can be coded as vectors. Vector relationships can be defined. The documents can be classified using the vector relationships.

Abstract: A processor circuit may perform processing associated with storing in a memory a record for each of a plurality of transactions, each record comprising an indication identifying at least one item, of a set of items, involved in the transaction and an indication of a time elapsed between the transaction and a previous transaction. The processor circuit may perform processing associated with analyzing a sequential plurality of the transactions using at least a long short term memory (LSTM) network to produce a probability that the at least one item will be involved in a next transaction for each at least one item, and a time estimate until the next transaction occurs. The processor circuit may perform processing associated with storing each probability and the time estimate in the memory as a prediction.

Abstract: Methods for Editing Hierarchical Data are provided. Data subsets of hierarchical data are copied. Workstreams are generated and sent to users. An edit to a first workstream from a first user and an edit to a second workstream from a second user are received. The hierarchical data in the general database is edited according to the edits made by the first user and the second user. A full organization view of persons and positions in the organization that includes the edits made by the first user and the second user is displayed.

Abstract: Systems and methods for predicting transactions. A record is stored for each of a plurality of transactions, each record comprising an indication identifying each item from a set of items involved in the transaction and an indication of a time elapsed between the transaction and a previous transaction. A sequential plurality of the transactions is analyzed using a unidirectional long short term memory (LSTM) network to produce a probability that each item from the set of items will be involved in a next transaction, and a time estimate value for a future time when the next transaction will occur. The probability for each item and the time estimate value is stored in the memory as a prediction.

Abstract: Communication systems and methods support communication between multiple devices. In some embodiments, a method initiates a communication session between a first device and a second device via a server. The method identifies a first user associated with the first device and identifies a second user associated with the second device. An interaction history between the first user and the second user is accessed from the server and communicated to the first device for display on the first device.

Abstract: A method and apparatus are provided for predicting the outcome of a project and, if needed, increasing its likelihood of success. Numerical values are assigned to a set of predetermined factors affecting the outcome of the project. The values are assigned based on a subjective evaluation of each factor with respect to the project. The factors include the duration of the project, the performance integrity of persons involved in implementing the project, the perceived commitment of senior management to the project, the local commitment to the project and the effort required to implement the project. A score is calculated based on the values assigned to the factors. The score is applied to empirical data on prior project outcomes and scores to determine the probability of success of the project. If desired, project changes can be implemented and new values assigned to one or more factors to improve the score and increase the probability of success of the project.

Abstract: A method and apparatus for selecting and converting database records or sets of related documents into network data and presenting that data in a network visualization system that enables users to select among, and move between various network displays by selecting one or more attributes of the data to be represented as the nodes and links of the network.

Abstract: A method and apparatus for selecting and converting database records or sets of related documents into network data and presenting that data in a network visualization system that enables users to select among, and move between various network displays by selecting one or more attributes of the data to be represented as the nodes and links of the network.

Abstract: A method and apparatus for selecting and converting database records or sets of related documents into network data and presenting that data in a network visualization system that enables users to select among, and move between various network displays by selecting one or more attributes of the data to be represented as the nodes and links of the network.