Abstract: Network traffic data associated with data requests to computer applications based on static policies is collected. An optimization order is established among network parameters. A first network parameter of a higher rank in the optimization order is estimated based on the collected network traffic data before one or more other network parameters of lower ranks are estimated. Optimal values for the other network parameters are estimated based at least in part on the estimated first optimal value for the first network parameter. The estimated first optimal value of the first network parameter and the estimated optimal values for the other network parameters are propagated to be used by user devices to make new data requests to the computer applications.

Abstract: Disclosed are some examples of systems, methods, and computer program products for suggesting actions for evaluating user performance in a social networking system. In some implementations, textual input of a social media message is processed. The processing can include determining that data of the textual input indicates an evaluation of performance of a user of the social networking system. A prompt can be displayed, requesting submission of information evaluating performance of the user. A performance evaluation record can be generated or updated in a database to store the evaluating information in association with an identification of the user, and an indication of the evaluating information can be shared in a feed of the social networking system.

Abstract: A cloud platform supports an object preview service. A user may configure a data object preview, and the object preview service stores a set of instructions for the data object in a preview library. The object preview is associated with a unique identifier, which is associated with an identifier of the preview library. The object preview service may receive requests from client systems, and the request may indicate a data object. The object preview service identifies the set of instructions based on user interface (UI) configurations of the client system and the request. The object preview service transmits the instructions to the client system, which outputs the data object preview at a UI according to the instructions.

Abstract: Methods, systems, and devices supporting data processing are described. In some systems, a data processing platform may support communication message analysis using machine learning. For example, a system may receive a set of communication messages (e.g., social media messages) and perform a machine learning process on the message contents and message interaction data to train a machine learned model. The system may further receive a subject line for a communication message for analysis, input the subject line into the machine learned model, and receive, as an output of the machine learned model, an engagement score based on the subject line. The engagement score may indicate an estimated probability that a user receiving the communication message opens the communication message (e.g., based on the subject line). A user—or the system—may modify the subject line based on the analysis to improve the engagement score.

Abstract: The disclosed subject matter provides authentication between a client device and a server. The server allocates a dynamic user ID contained within an authentication token that is provided to the client device. In response to each successful authentication with the server, a new dynamic user ID is generated and provided to the client device for use in a subsequent authentication session. In generating the new dynamic user ID for the client device, the server invalidates any previously-provided dynamic user IDs for the client device.

Abstract: Disclosed herein are system, method, and device embodiments for implementing dynamic codeless logging in an integration platform system. An integration platform may provide a declaratively-configurable asset pre-configured to implement a logging functionality associated with a log point, package the declaratively-configurable asset within an integration application, and receive a selection of the log point associated with the declaratively-configurable asset. In addition, the integration application may generate log information corresponding to the log point based on the selection of the log point and the logging functionality. Further, the integration platform may present the log information within a graphical user interface.

Abstract: Disclosed herein are system, method, and computer program product embodiments for processing a written-language contract using an industry-specific natural language processing model to determine flows or actions to undertake in a Customer Relationship Management (CRM) solution. A CRM solution may include the ability to receive or create a binding natural-language contract. The CPQ or CRM system may use natural language processing (NLP) to determine terms and conditions included in a natural-language contract. The NLP may further use an industry-specific model that may be determined based on information in the CRM solution to more efficiently and accurately analyze the natural-language contract. The CRM solution may further receive a legal language construct and convert the terms of the legal language construct into a smart contract.

Abstract: A system can provide a web browser application that generates a request for a data object to a server. The system can include a syncer delegate that intercepts the request from the web browser application and determines whether the requested data object is available in a cache memory. If the data object is available in the cache memory, the requested data object is transferred from the memory to the web browser application and the request is forwarded to a server over a network. If the data object is not available in the cache memory, the request is forwarded to a server over a network. The server can transfer the data object over the network to the syncer delegate, which can provide the data object to the web browser application and update the cache with the newly-received data object.

Abstract: Systems and techniques are provided for monitoring and managing the performance of services accessed by sites on a computing platform. When a performance issue is identified, a service is monitored to determine if calls to the service exceed a threshold completion time. If so, a resource available to call the service is adaptively throttled by the platform.

Abstract: Systems and method are provided for tracking actions from one or more users of an electronic product catalog, assigning a first token to each of the tracked actions that are unrelated to product item information, assigning second tokens to the one or more tracked actions which have catalog information or product identity, assigning third tokens to the one or more tracked actions based on at least one category of a page of the electronic product catalog, and assigning fourth tokens to at least one search queries and/or search refinement of the one or more tracked actions. The server may generate a sequence of tokens in one or more vectors for each of the one or more users, may encode profile information for the one or more users as a matrix of vectors, and may determine at least one product recommendation for the one or more users from the electronic catalog.

Abstract: Methods, computer readable media, and devices for automated routing based on content metadata are provided. One method may include receiving a user request for content with metadata from a client by a content distribution network (CDN), parsing the user request for content to generate an evaluation of the metadata, determining a routing decision representing a selection of one of a plurality of origin services for the user request for content based on the evaluation of the metadata, transmitting the user request for content to the selected one of the plurality of origin services based on the routing decision, receiving a response to the user request for content from the selected one of the plurality of origin services, and sending the response to the client.

Abstract: Systems and methods are provided for generating textual embeddings by tokenizing text data and generating vectors to be provided to a transformer system, where the textual embeddings are vector representations of semantic meanings of text that is part of the text data. The vectors may be averaged for every token of the generated textual embeddings and concatenating average output activations of two layers of the transformer system. Image embeddings may be generated with a convolutional neural network (CNN) from image data, wherein the image embeddings are vector representations of the images that are part of the image data. The textual embeddings and image embeddings may be combined to form combined embeddings to be provided to the transformer system.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for using metrics in association with process flows. For instance, a set of metrics associated with a flow can be generated or updated based, at least in part, on flow performance data. Provided for presentation via a display device and within a flow builder application is an indication of the set of metrics associated with the flow in relation to one or more elements of the flow. At least a portion of the set of metrics is provided for presentation in close proximity to a visual representation of an element of the flow. A request to modify the flow can be received via the flow builder application.

Abstract: Methods, computer readable media, and devices for distributing risk of multiple realms across multiple resources based on a realm risk model are disclosed. One method may include determining a time score based on an average response, a traffic score based on an average client request rate, and a risk score based on the time score and the traffic score for a plurality of realms, distributing the plurality of realms across a fixed number of resources based on the risk scores of the plurality of realms, and in response to a change in a risk score of a realm, redistributing the plurality of realms across the fixed number of resources based on a difference between a maximum risk score and a minimum risk score.

Abstract: Systems and methods are provided for determining pairwise scores for items in an electronic catalog that is stored in a storage device communicatively coupled to a server, and determining when a pair of items in the electronic catalog is valid. A sum of the pairwise scores by activity type for a plurality of activity types may be determined, and the pairwise scores for the plurality of activity types may be summed. A sorted list of items that compliment an anchor item of the electronic catalog may be generated. Items from the generated sorted list may be filtered, and an item ranking in the filtered list may adjusted. Consistency between recommendations of the items in the adjusted ranking list may be determined, final recommendations of the items based on the determined consistency between recommendations may be selected and transmitted for display.

Abstract: Disclosed are systems, methods, apparatus and computer program products for facilitating voice-based interaction by a mobile device with an enterprise database. In some implementations, a command and a type of enterprise work record are identified in a first one or more voice signals obtained at the mobile device. One or more fields of the identified record type required by the enterprise database to be populated to carry out the identified command is determined. Field data can be identified in a second one or more voice signals obtained at the mobile device. Structured text data comprising the identified command, the identified record type and the identified field data can be sent to a server.

Abstract: Disclosed herein are method, system and device embodiments for setting up a graphical user interface (GUI) for a commerce architecture. An embodiment operates by providing a GUI that displays a first button for adding a first data source and a second button for adding a second data source, the second data source being related to the first data source, receiving a first response via the first button to add the first data source and a second response via the second button to add the second data source, providing a view of a first data schema and a second data schema, wherein the first data schema includes at least one object from the first or the second data source, and wherein the second data schema is a canonical data model, mapping the at least one object of the first data schema to at least one object of the second data schema, and providing a single entity view of the at least one object of the second data schema.