Abstract: A device, system and method for training machine learning models using messages associated with provider objects is provided. One or more computing devices: receives messages associated with provider objects representing items provided by provider systems, the messages having more than one format; stores harmonized objects corresponding to the messages, the harmonized objects generated using mappings of harmonized data of the harmonized objects to message data of the messages, the harmonized objects having common formats for a harmonized object type; extracts, from the harmonized objects, for a given machine learning model, given machine learning training data; generates, for the given machine learning model, using the given machine learning training data, at least one machine learning classifier; and provides the at least one machine learning classifier to the given machine learning model at one or more servers configured to implement the given machine learning model on received provider objects.

Abstract: A server: receives from at least one provider system, at least one provider object that includes provider object data representing at least one item provided by the provider system(s); generates an intermediation object, corresponding to the at least one provider object, including an intermediation object identifier that identifies the intermediation object and intermediation object data populated with at least a subset of the provider object data, the intermediation object and the intermediation object identifier omitting: the provider object data, and any provider object identifier in an original form; and provides the intermediation object, in place of the at least one provider object, to a client device that requested the at least one item, the intermediation object provided. The intermediation object identifier may enable the server to intermediate between the client device and the provider system(s) without storing the provider object and/or any provider object identifier.

Abstract: A device, system and method for providing provider objects from a cache is provided. Provider objects are received representing items provided by provider systems. The provider objects are categorized by reusability and/or context characteristics and stored as categorized. A request is received for one or more items provided by the one or more provider systems. A stored and categorized provider object is determined to meet criteria associated with the request, including one or more of a respective reusability and respective context characteristics of the provider object. In response to determining that the provider object, that meets the criteria, is estimated to be currently valid, a response corresponding to the provider object is provided.

Abstract: A computer-implemented method of detecting price discrepancies over time and providing analysis messages comprises: retrieving a set of price results based on at least one parameter selected from a set of parameters; detecting a pattern in the set of price results; accessing and updating a pattern cause database for identifying at least one predetermined pattern cause based on the detected pattern; analyzing each predetermined pattern cause and associated corrective actions; and generating at least one analysis message containing: the at least predetermined pattern cause and the associated corrective actions.

Abstract: A method of searching for a product or service and presenting the results in a calendar type view; wherein the search is instigated in a request which includes a plurality of parameters, such as a city pair and/or a date, and one or more upsell criteria; the method comprising the steps of: determining via a computer search, results which meet at least one parameter and one or more upsell criteria to thereby determine a flight domain; progressively determining the flight domain via a computer to produce refined results; limiting the number of results in the flight domain based on the at least one parameter, one or more upsell criteria and first one of a plurality of abstraction levels to thereby obtain the refined results, which refined results have lowest prices; and presenting the refined results in a view such as a calendar matrix view.