Amadeus S.a.s.

Damien Ciabrini

Guillaume Legrand

Luc Isnardy

Rudy Daniello

Charles-Antoine Robelin

Marc Patoureaux

Claudine Reynaud

Benoit Janin

Nicolas Maillot

Rémy Gole′

Eric S Mountain

Sébastien Gibergues

Luc Viguie

Remy Gole'

Sebastien Gibergues

Benedicte Isnardon

Jean-Philippe Aubry

Remy Gole

Eric Stephen Mountain

Methods, systems, and computer program products for re-computing pre-computed search results, such as pre-computed priced recommendations. Pre-computed search results stored in a search platform are subdivided into shares of related pre-computed search results including a first share. A re-computation controller determines a validity trend indicating a change rate of a validity probability of a pre-computed search result over time and an instantaneous validity rate for the pre-computed search results. If a difference between the instantaneous validity rate and the validity trend exceeds a given extent, the re-computation controller adjusts the validity probabilities being associated with other pre-computed search results included in a second share correlated with the first share. The re-computation controller issues re-computation orders to a computation platform to re-compute a part of the pre-computed search results, the part being selected by the re-computation controller on the basis of the validity probabilities associated with the pre-computed search results.

Managing pre-computed search results

Methods, systems, and computer program products for maintaining up-to-date pre-computed search results, such as travel recommendations, stored in a data cache maintained, for example, by a global distribution system. Pre-computed search results are re-computed to provide long-term accuracy. A re-computation controller assigns a re-computation indicator to any of the pre-computed search results. The re-computation indicator for a pre-computed search result is based on at least on a probability that the pre-computed search result is still valid, and on a re-computation frequency of the search result. Within a given time interval, a computation platform re-computes these pre-computed search results having a re-computation indicator indicating the highest need for re-computation. The number of pre-computed search results re-computed by the computation platform is limited by the computation resources of the computation platform that are available for the re-computation within the given time interval.

Long-term validity of pre-computed request results

A data cache platform maintains pre-computed database query results computed by a computation platform based on data maintained in the computation platform and is configured to determine probabilities of the cached database query results being outdated, to automatically issue re-computation orders to the computation platform for updating cached database query results on the basis of the determined probabilities of the pre-computed database query results being outdated and to receive the updated pre-computed database query results as results of the re-computation orders. The probability determination depends on a probabilistic model and on the occurrence of asynchronous real-time events. The real-time events are indeterministic with regard to the expiration of the cached database query results and only have a probabilistic influence on the discrepancies between the cached database query results maintained in the data cache platform and presumed actual database query results.

Updating cached database query results

A faring system includes a production facility including at least one fare shopping server, a staging facility including at least one fare shopping server, and an entry point for conducting bi-directional communications with customers. The staging facility further includes a database storing transformation rules and a traffic generation subsystem configured to receive a transaction via the entry point from a customer, to determine if the received request is one suitable for use in generating simulation data for the fare shopping server of the staging system and, if so, to modify the received transaction in accordance with at least one rule retrieved from the database to create at least one modified transaction, and to send the at least one modified transaction to the fare shopping server of the staging facility for processing. The fare shopping server of the staging facility processes the modified transaction for evaluating a potential new or modified functionality of the faring system.

Automatic traffic generation for a faring system

The method according to a preferred embodiment of the present invention provides a pre-shopping reservation tool which allows storing entire catalogs of air travels from many providers, while ensuring a high cache accuracy at limited operational costs. The system makes use of the fares knowledge to merge identical travel recommendations coming from different travel providers (airline, travel agencies) when possible, i.e. when fares are public and not negotiated for a specific travel provider. This prevents redundant prices to be stored in the system and improves its cost effectiveness. The system according to a preferred embodiment of the present invention relies on several dedicated data analysis engines to optimize the cost of data pre-computations while at the same time maintaining good data accuracy.

Method and system for a pre-shopping reservation system with increased search efficiency

Growing community of inventors

Mouans-Sartoux, France

Damien Ciabrini