Amadeus S.a.s.

Benoit Lardeux

Mourad Boudia

Fabien Mourgues

Florent Pellerin

Vincent Bossert

Antoine Cheinet

Thierry Delahaye

Bruno Mousli

David Renaudie

Charles-Antoine Robelin

Denis Arnaud

Anh Quan Nguyen

Rodrigo Alejandro Acuna Agost

Eoin Thomas

Papa Birame Sane

Virtualization methods and systems for optimizing the availability of items in an inventory of items in a reservation system, wherein the items are classified into item types and an item type is defined by a requestable set of at least one characteristic. Reservations may be received for a set of at least one characteristic that is a subset of an item type. After a reservation has been accepted, all the availabilities of the requestable sets of at least one characteristic in the inventory are updated. The reservation system may be a hotel reservation system and item types may be hotel room types or other bookable products. The reservation system may be a flight reservation system and item types may be bookable places on flights.

Maximal availability inventory

Computer-implemented methods of providing personalized recommendations to a user of items available in an online system, and related systems. First-level features including context features are computed based upon context data. A first-level machine learning model is then evaluated using the first-level features to generate predictions of user behavior in relation to a plurality of individual items available via the online system. A list of proposed item recommendations is constructed based upon the predictions. Second-level features are computed based upon the context data and list features based upon the list of proposed item recommendations and the corresponding predictions generated by the first-level machine learning model. A second-level machine learning model is evaluated using the second-level features to generate a prediction of user behavior in relation to the list of proposed item recommendations. A personalized list of item recommendations is provided based upon the prediction generated by the second-level machine learning model.

Recommender systems and methods using cascaded machine learning models

Virtualization methods and systems for optimizing the availability of items in an inventory of items in a reservation system. The items are classified into item types and an item type is defined by a requestable set of at least one characteristic. Reservations may be received for a set of at least one characteristic that is a subset of an item type. After a reservation has been accepted, all the availabilities of the requestable sets of at least one characteristic in the inventory are updated. The reservation system may be a hotel reservation system and item types may be hotel room types or other bookable products. The reservation system may be a flight reservation system and item types may be bookable places on flights.

A revenue management system comprising a first revenue management route which includes a forecast module and an optimization module and which calculates expected revenue for sales of inventor items based on historical data; a second revenue management route which is selected if the confidence in the forecasting in the first route is below a predetermined value.

Revenue management system and associated method for updating and limiting future sales of spaces of a travel-related service

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Roquefort-les-Pins, France

Benoit Lardeux