Amadeus S.a.s.

Laure Canis

Cedric Florimond

Marek Herer

Jerome Bertrand

Feten Zmerli

Thibaud Andrevon

Thomas Rondepierre

Antoine Menard

Marion Bonnet

Sarah Muguerza

Victor Alonso

Celine Pradin

Jean-Baptiste Rey

Geoffrey Claude

Simone Bisogni

Francis Sauch

Remi Moretti

Nicolas Pasquier-Meunier

Divendar Umesh Murtadak

Xavier Janin

Cached data is updated by a computing machine coupled to a primary database maintaining original data and to a cache maintaining data corresponding to the data in the primary database. In response to receiving a first database query relating to a first data, the computing machine determines whether to process the first database query by utilizing the cache or based on the primary database. In response to concluding processing the first database query, the computing machine determines whether to update the first data in the cache, and based on the result of the determining, updates the first data in the cache based on original first data in the primary database.

Updating cache data

Systems, methods and computer program products associated with a flight search engine for searching itineraries between an origin and a destination on a given date, according to a predefined display policy. Available routes may be filtered according to a first set of predefined criteria associated with the routes. The filtered available routes may be ranked according to a second set of predefined criteria. Itineraries may be constructed that are associated with the filtered available routes. The constructed itineraries may be filtered according to a third set of predefined criteria, and the filtered itineraries may be ranked according to a fourth set of predefined criteria. Historical booking data regarding previously booked itineraries for future travels may be received and analyzed, and may be taken into in the ranking of the filtered available routes and the filtered itineraries.

Engine for searching itineraries

A database system includes an original data source storing pieces of original data and a cache source storing pieces of cached data, each associated with an accuracy value. A method of processing queries in the system includes: for each randomly selected client query, retrieving a first piece of cached data matching the query, and retrieving a first piece of original data matching the query; for non-selected client queries, retrieving a second piece of cached data matching the query; evaluating the accuracy value of the second piece of cached data; if the accuracy value is below a given threshold, retrieving a second piece of original data matching the query, and updating the second piece of cached data by the second piece of original data; and adapting a probabilistic model based on the first piece of cached data and the first piece of original data using a machine learning algorithm.

Performing cache update adaptation

The present invention relates to a computer-implemented fraud method and system for managing fraud screening in response to a requested transaction. The fraud management system checks the efficiency of the fraud screening strategy and predicts the efficiency of new fraud screening strategies based on the total cost of fraud. This calculation is facilitated, because transactions are divided into groups, and the total cost of fraud may be calculated for a representative element of the group, and not for each transaction in the group. Furthermore, if the fraud screening is based on rules that apply an acceptance flow to predetermined conditions, the fraud management can choose the best acceptance flow for these predetermined conditions by minimizing the total cost of fraud. Finally, the fraud management can also flag inefficient rules thanks to an indicator related to the total cost of fraud to highlight rules whose predetermined conditions should be changed.

Fraud management system and method

Methods, apparatuses, and computer program products for processing search results. Search results are retrieved from a database of travel itineraries based on search criteria provided by a traveler, and a set of recommended travel itineraries selected from the search results based on a probabilistic profile comprising a plurality of value profiles. A set of near-optimal travel itineraries is defined for each of the value profiles. A probability is determined for each travel itinerary of the search results based on a sum of weights of each value profile including the travel itinerary in the corresponding set of near-optimal travel itineraries, and travel itineraries added to the set of recommended travel itineraries based on the probabilities. An online search may be performed to enrich the set of recommended travel itineraries depending on a distance between the probabilistic profile of the traveler and a probabilistic profile used to populate the cache.

Selecting search results for responding to search query

Methods, systems, and computer program products for screening transactions. Transactions stored in a transaction database may provide a statistical basis for determining a probability of fraud for a pending transaction. The cost of fraud may be determined for each of a plurality of possible actions based on the probability of fraud, and the action that provides the lowest cost of fraud chosen. A cumulative cost of fraud may be determined for a set of transactions in the database. If taking the action with the lowest cost of fraud for the transaction would result in a higher cumulative cost of fraud, an action having the higher cost of fraud for the transaction may be chosen. The transaction may be added to the database, and the probability of fraud adjusted based on an amount of time since acceptance of the transaction. The statistical basis may be optimized based on a cost error.

Predictive fraud screening

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Nice, France

Laure Canis