Systems and methods are provided for determining a set of selectors associated with the publisher identifier, each selector comprising specified content to extract from source data and one or more rules for extracting the specified content. The system and methods further provided for each location data in the list of location data, extracting, from the source data, specified content for each selector of at least a subset of the set of selectors based on the one or more rules specified in each selector of the at least the subset of the set of selectors; determining a template to use to generate the media content item, the template comprising regions corresponding to the one or more selectors; populating each region of the template using specified content for the corresponding selector; and generating the media content item from the populated template.

Example embodiments of the present disclosure include a system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for providing a recommendation based on a level of buying intent of an individual. Consistent with some embodiments, the method may include monitoring an amount of time an individual wears a particular item while in a fitting room of a retail store, and determining an interest level of the individual in purchasing the item based on the amount of time the individual wears the item. The method may further include generating and providing a recommendation for an additional based on the determined level of intent.

Techniques for provisioning a smart navigation service are presented. The provisioning can be performed by a name owner, by the smart navigation service itself, or by a third-party keyword service. The provisioned information can include an entity name, a keyword, and possibly other data correlated to at least one network locator. The navigation service electronically stores in navigation service persistent memory a rule correlating the entity name, the keyword, and, if used, the other data, to the at least one network locator, such that when the navigation service receives, from a client computer communicatively coupled to the navigation service, command data that includes the entity name, the keyword, and possibly other data, the navigation service responds to the client computer with the at least one network locator.

This disclosure relates to electronically linking offline user activity to online activity of that user. Linking offline to online activity provides real-time feedback on traffic flow from a machine-readable label (“MRL”) scan to a conversion event on a target website. Linking offline to online activity enables tracking of specific MRLs and conversion events associated therewith. Linking offline to online activity enables calculating benchmarks such as time to conversion event and best performing conversion locations for an MRL. Linking offline to online activity enhances security and data quality as each conversion event can be traced back to a unique MRL scan and a timestamp and geolocation associated with the unique MRL scan.

Embodiments of the invention relate to methods and systems for evaluating entities for a target user, the method comprising obtaining, at a server computer, entity data from a plurality of data sources. The entity data is then stored in an entity database. The method further comprises merging the entity data from the plurality of data sources, mapping the entity data to a corresponding entity, and differentiating the entity. Then a relevance is determined associated with the entity data and data source. The method further comprises generating a set of entity evaluations to the target user using the relevance, determining a set of one or more entities relevant to the primary user based on the entity data, user data, and the relevance, with an initial order of relevance, and displaying, on a user device, the set of relevant entities to the target user in the order of relevance.

Embodiments of the invention relate to methods and systems for evaluating entities for a target user, the method comprising obtaining, at a server computer, entity data from a plurality of data sources. The entity data is then stored in an entity database. The method further comprises merging the entity data from the plurality of data sources, mapping the entity data to a corresponding entity, and differentiating the entity. Then a relevance is determined associated with the entity data and data source. The method further comprises generating a set of entity evaluations to the target user using the relevance, determining a set of one or more entities relevant to the primary user based on the entity data, user data, and the relevance, with an initial order of relevance, and displaying, on a user device, the set of relevant entities to the target user in the order of relevance.

A contextual local image recognition module of a device retrieves a primary content dataset from a server and then generates and updates a contextual content dataset based on an image captured with the device. The device stores the primary content dataset and the contextual content dataset. The primary content dataset comprises a first set of images and corresponding virtual object models. The contextual content dataset comprises a second set of images and corresponding virtual object models retrieved from the server.

A contextual local image recognition module of a device retrieves a primary content dataset from a server and then generates and updates a contextual content dataset based on an image captured with the device. The device stores the primary content dataset and the contextual content dataset. The primary content dataset comprises a first set of images and corresponding virtual object models. The contextual content dataset comprises a second set of images and corresponding virtual object models retrieved from the server.

Methods, systems, and computer readable media for health checking involving common application programming interface (API) framework (CAPIF) are disclosed. One example method for health checking using CAPIF comprises: at a CAPIF node including at least one processor: receiving, from a sender, a CAPIF request message including health check information usable in checking the health of an endpoint associated with the sender, wherein the health check information includes a uniform resource identifier (URI) associated with the endpoint and an acceptable response value for indicating that the endpoint is active; and determining, periodically or aperiodically, a health status of the endpoint by performing a health check procedure using the URI and the acceptable response value.

Methods, systems, and computer readable media for health checking involving common application programming interface (API) framework (CAPIF) are disclosed. One example method for health checking using CAPIF comprises: at a CAPIF node including at least one processor: receiving, from a sender, a CAPIF request message including health check information usable in checking the health of an endpoint associated with the sender, wherein the health check information includes a uniform resource identifier (URI) associated with the endpoint and an acceptable response value for indicating that the endpoint is active; and determining, periodically or aperiodically, a health status of the endpoint by performing a health check procedure using the URI and the acceptable response value.