Abstract: A computing system includes a memory device and a processor structured to: receive, from a user device, a media input; extract, using a machine-learning model, at least one feature of the media input; identify, using the machine-learning model, at least one intent; determine, using the machine-learning model, at least one action policy; generate a user interface comprising the media input, the at least one extracted feature of the media input, and the at least one action policy; provide the user interface to the user device; receive, via an input to the user interface, an indication of a selection of the at least one action policy displayed on the user interface; generate a second user interface comprising a plurality of options associated with the selected at least one action policy; and provide the second user interface to the user device.

Abstract: A computing system includes a processing circuit having at least one processor coupled to at least one memory device. The processing circuit performs operations including: receiving, from a user device, at least one selected output generated for display via the user device in response to a search query; retrieving information related to the at least one selected output; generating a summary of the at least one selected output based on the retrieved information related to the at least one selected output; and displaying, via a graphical user interface, the summary of the at least one selected output simultaneously with a conversation platform, wherein the conversation platform is configured to enable a conversation between a conversational assistant and a user of the user device relating to the at least one selected output.

Abstract: Systems and methods are described for generating and refining videos in response to receiving agent inputs. Example systems can be configured to obtain, from a client device, a request to generate a set of images (including videos). The systems can be configured to determine, responsive to the request, a first image from among a dataset comprising a plurality of predetermined images using the one or more aspects. In some examples, the system can be configured to provide the first image and a prompt to a machine learning model to cause the machine learning model to generate the set of images as an output. In response to obtaining the set of images from the machine learning model, the systems described can provide the set of images to cause the client device to display at least one image of the set of images.

Abstract: One embodiment relates to a method for searching for travel items. The method includes obtaining interaction data indicating a set of interactions of a first user across a plurality of platforms. The method includes generating a dynamic user profile indicating a plurality of travel preferences for the first user. The method includes generating search suggestions for the first user based on the dynamic user profile, the search suggestions specific to the first user and generated based at least in part on characteristics of the dynamic user profile. The search suggestions include at least one of suggested search queries or suggested filters. The method includes receiving a selection from the first user of a first search suggestion. The method includes identifying a first plurality of travel items using the selected first search suggestion. The method includes providing, to the first user, the first plurality of travel items.

Abstract: Systems and methods for providing improved graphical user interfaces are disclosed. A method includes: receiving experience information associated with an experience; evaluating the experience information based on contextual information associated with the experience; determining a priority of the experience information based on the evaluation; retrieving a digital object template from a limited number of digital object templates based on the determined priority of the experience information; populating the retrieved digital object template with corresponding experience information to generate a contextual digital interface object; and providing the contextual digital interface object on a graphical user interface of a user device, the contextual digital interface object comprising a selectable feature based on the corresponding experience information.

Abstract: One embodiment of the present disclosure is a method for automatically acquiring and assessing travel data. The method includes acquiring travel data from a plurality of content sources using a plurality of artificial intelligence (AI) agents, generating, using the plurality of AI agents, a plurality of output travel data items from the acquired travel data, generating a plurality of confidence scores for the plurality of output travel data items, each of the plurality of confidence scores for a different respective output travel data item, and each of the plurality of confidence scores generated using a source credibility associated with a reliability of the content source from which the travel data was acquired for the output travel data item, and utilizing the plurality of confidence scores to determine an action to perform with respect to one or more of the plurality of output travel data items.

Abstract: Various examples, systems, and methods are disclosed relating to processing, classifying, and grouping images. A first computing system can cause an encoder model to generate a plurality of scenes corresponding with a plurality of images. The first computing system further can cause a detection model to generate a plurality of similarity metrics of a plurality of image pairs of a plurality of spaces of the plurality of images corresponding with at least one scene. The first computing system further can determine a plurality of image subsets of the plurality of spaces of the plurality of images corresponding with the at least one scene, the plurality of image subsets are determined based at least on a grouping of the plurality of images according to the plurality of similarity metrics. The first computing system further can provide the plurality of image subsets of the plurality of images.

Abstract: A computing system includes a processing circuit having a processor coupled to a memory device. The processing circuit performs operations including receiving, during a search session, a search query comprising configurable parameters; providing, during the search session, an array of visual outputs that meet criteria defined by the parameters; receiving, from a user device, during the search session, a selection of a visual output from the array; extracting, using a machine learning model and based on a pixel composition of the visual output, a feature; identifying, using the machine learning model, one or more second visual outputs related to travel properties that share the feature; replacing a default image associated with at least one travel property with an image representing the feature; and providing, to the user device, during the search session, a second array comprising the one or more second visual outputs including the replaced image.

Abstract: Systems and methods for clustering and organizing geographical locations into regions of interest (ROI) within a hierarchical graph. The ROI generation system may generate a graph containing geographical entities and the relationships between each geographical entity. Each geographical entity can be represented as a node, and the relationships between geographical entities may be represented as edges between nodes. Each edge may represent the relationship between the two geographical entities weighted based on an occurrence of both geographical entities appearing as search items within a user session. In addition, the ROI generation system may generate multiple levels within a graph corresponding to various resolutions of geographical entities. The ROI generation system may cluster geographical entities within the hierarchical graph into non-overlapping regions of interest, or clusters. Insights and metrics may be inferred from the hierarchical graph and presented to the user or third parties.

Abstract: A system includes at least one processing circuit including at least one memory and one or more processors configured to: identify, via at least one machine learning model, at least one excluded parameter of a non-bounded query relating to a trip; identify, via the at least one machine learning model, a set of travel results that match the query and the excluded parameter by: analyzing, based on search data from one or more users, at least one search result distribution corresponding to at least one parameter associated with at least one trip of the one or more users and relating to the at least one excluded parameter; and identifying the set of travel results based on a value regarding the at least one parameter satisfying a presentation threshold for the at least one search result distribution; and present one or more travel results of the set of travel results.

Abstract: Systems and methods for generating content summaries are provided. A provider computing system includes a first machine learning model configured to: retrieve one or more elements associated with an entity and retrieve a plurality of content items associated with the entity, each content item including a reference to at least one of the one or more elements; a second machine learning model configured to determine, for each reference to at least one of the one or more elements in each content item of the plurality of content items, a sentiment of the reference; a third machine learning model configured to generate, for each reference to the at least one of the one or more elements, a first summary of the at least one of the one or more elements; and a fourth machine learning model configured to: generate a second summary, including the first summary.

Abstract: One embodiment of the present disclosure is a method for automatically acquiring and assessing travel data. The method includes acquiring travel data from a plurality of content sources using a plurality of AI agents, generating, using the AI agents, a plurality of output travel data items from the acquired travel data and a plurality of confidence scores for the output travel data items, generating a plurality of final confidence scores for the plurality of output travel data items, the plurality of final confidence scores generated based the confidence scores, source credibility scores and AI agent credibility scores, automatically determining an action to perform on one or more of the plurality of output travel data items using the final confidence scores of the one or more output travel data items, and automatically performing the action.

Abstract: One embodiment of the present disclosure is a method for automatically acquiring and assessing travel data. The method includes acquiring travel data from a plurality of content sources using a plurality of AI agents, generating, using the AI agents, a plurality of output travel data items from the acquired travel data and a plurality of confidence scores for the output travel data items, generating a plurality of final confidence scores for the plurality of output travel data items, the plurality of final confidence scores generated based the confidence scores, source credibility scores and AI agent credibility scores, automatically determining an action to perform on one or more of the plurality of output travel data items using the final confidence scores of the one or more output travel data items, and automatically performing the action.

Abstract: Secure authentication and delayed transaction processing for booking management systems is provided. Third-party services partner with booking management systems to aggregate and list offerings of the third-party services in a digestible display on a one-stop platform. A booking management system can manage the authentication of payment card information on behalf of any number of such third-party services. The booking management system can maintain and process authentication information associated with traveler payment cards, and provide virtual payment information to the third-party services for payment following chargeable events. The third-party services may later initiate a transactions using the virtual payment information, without being required to perform authentication processing on the traveler payment card information maintained by the booking management system.

Abstract: A system includes at least one processing circuit including at least one memory and one or more processors configured to: obtain, via a user interface, a non-bounded query relating to a travel trip, the non-bounded query excluding at least one parameter associated with the travel trip; identify, via a first machine learning model, the at least one excluded parameter based on the non-bounded query; identify, via a second machine learning model and from among a first set of travel results that match the non-bounded query and the excluded parameter, a second set of the travel results that meet a presentation threshold of customer popularity based on at least one of a location selected by one or more users or a time selected by the one or more users; and present, via the user interface, one or more travel results of the second set, and the presentation threshold.

Abstract: A computing system includes a processing circuit having at least one processor coupled to at least one memory device. The processing circuit performs operations including receiving, from a user device during a search session, a first visual output from a first array of visual outputs comprising a first set of configurable parameters; extracting, using a machine learning model, at least one feature of the first visual output based on a characteristic of the first visual output; identifying, using the machine learning model, one or more second visual outputs that share the at least one feature of the first visual output based on a characteristic of each of the one or more second visual outputs; generating a second array of visual outputs comprising the one or more second visual outputs; and displaying, via a user interface of the user device and during the search session, the second array of visual outputs.

Abstract: A computing system for automated fraud risk reduction for travel-related transactions, the computing system including at least one processing circuit including at least one processor and at least one memory, the at least one memory storing instructions therein that, when executed by the at least one processor, cause the at least one processor to: receive data corresponding to a first travel-related transaction, process, using a first machine learning model, the data to automatically generate an output data set comprising a plurality of characteristics relating to the first travel-related transaction, the first machine learning model configured to generate the output data set by identifying the plurality of characteristics to include responsive to determining the plurality of characteristics are potentially relevant to a determination of whether the first travel-related transaction is fraudulent, and provide the generated output data set for use in analyzing whether the first travel-related transaction is frau

Abstract: One embodiment relates to a method for searching for travel items. The method includes obtaining interaction data indicating a set of interactions of a first user across a plurality of platforms. The method includes generating a dynamic user profile indicating a plurality of travel preferences for the first user. The method includes generating search suggestions for the first user based on the dynamic user profile, the search suggestions specific to the first user and generated based at least in part on characteristics of the dynamic user profile. The search suggestions include at least one of suggested search queries or suggested filters. The method includes receiving a selection from the first user of a first search suggestion. The method includes identifying a first plurality of travel items using the selected first search suggestion. The method includes providing, to the first user, the first plurality of travel items.