Abstract: A computing system is configured to receive, from a client device, a first communication comprising an initial set of user-defined information for a new time entry related to a construction project, wherein the initial set of user-defined information includes (i) a date and (ii) identifying information for at least one individual working on the construction project; obtain contextual information related to the at least one individual's work; based at least on the initial set of user-defined information and the contextual information, identify a set of one or more recommended cost codes for the new time entry; cause the client device to display the set of one or more recommended cost codes; receive, from the client device, a second communication that includes a given cost code that has been selected from the one or more recommended cost codes; and create the new time entry comprising the given cost code.

Abstract: Various embodiments relate generally to managing translation requests for content in a listing management system. In one or more embodiments, a method can include receiving data representing a plurality of requests to translate text for a plurality of entities, each request originating from a business unit having an allocated number of translation units. Requests may be analyzed to identify a translation cost for each request. A priority can be determined for each request based on its attributes. The requests may be sent to one or more translation engines based on the priority of each request. Translated entities from the one or more translation engines may be received and stored in association with the one or more listings.

Abstract: Various embodiments relate generally to a system, a device and a method provide for detecting influencer events based on received feedback data. A request may be received to predict an event for received feedback data from a plurality of customer computing devices communicatively coupled, through a network, with a web service application. A plurality of disparate data sources may provide data points from different applications and/or databases through application programming interfaces. The data points for a time period corresponding to the received feedback data may be retrieved to identify candidate events. The feedback data may be characterized and used to determine one or more ranked predictions using a heuristics engine. The heuristics engine may process the data points and the received characterized feedback data to rank predictions that influenced the feedback data. The data may also be visualized and interacted with by users of the listing management system.