Reality: A scalable intelligent travel planner. Decision support for the business traveler

Boi Faltings; Patrick Hertzog; Loic Samson; Marc Torrens Arnal

doi:10.1145/952532.952655

Reality: A scalable intelligent travel planner. Decision support for the business traveler

Boi Faltings, Patrick Hertzog, Loic Samson, Marc Torrens Arnal

Esade

Research output: Conference paper › Contribution

Abstract

Many information systems are used in a problem solving context. Examples are travel planning systems, catalogs in electronic commerce, or agenda planning systems. They can be made more useful by integrating problem-solving capabilities into the information systems. This poses the challenge of scalability: when hundreds of users access a server at the same time, it is important to avoid excessive computational load. In this paper, we present an approach, called reality, that allows to significantly extend the reach of electronic commerce in travel. Our application addresses in particular the challenge of modeling customers' personal preferences and providing solutions that are tailored to just those preferences. In contrast to existing technology, which allow to optimize only a small and predefined set of preferences, our tool allows a wide variety that can accurately model the preferences of different customers.

Original language	English
DOIs	https://doi.org/10.1145/952532.952655
Publication status	Published - 9 Mar 2003
Event	ACM Symposium on Applied Computing (SAC), Melbourne 2003 - Duration: 9 Mar 2003 → 17 Mar 2004

Conference

Conference	ACM Symposium on Applied Computing (SAC), Melbourne 2003
Period	9/03/03 → 17/03/04

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10.1145/952532.952655

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title = "Reality: A scalable intelligent travel planner. Decision support for the business traveler",

abstract = "Many information systems are used in a problem solving context. Examples are travel planning systems, catalogs in electronic commerce, or agenda planning systems. They can be made more useful by integrating problem-solving capabilities into the information systems. This poses the challenge of scalability: when hundreds of users access a server at the same time, it is important to avoid excessive computational load. In this paper, we present an approach, called reality, that allows to significantly extend the reach of electronic commerce in travel. Our application addresses in particular the challenge of modeling customers' personal preferences and providing solutions that are tailored to just those preferences. In contrast to existing technology, which allow to optimize only a small and predefined set of preferences, our tool allows a wide variety that can accurately model the preferences of different customers.",

author = "Boi Faltings and Patrick Hertzog and Loic Samson and {Torrens Arnal}, Marc",

year = "2003",

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language = "English",

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AU - Faltings, Boi

AU - Hertzog, Patrick

AU - Samson, Loic

AU - Torrens Arnal, Marc

PY - 2003/3/9

Y1 - 2003/3/9

N2 - Many information systems are used in a problem solving context. Examples are travel planning systems, catalogs in electronic commerce, or agenda planning systems. They can be made more useful by integrating problem-solving capabilities into the information systems. This poses the challenge of scalability: when hundreds of users access a server at the same time, it is important to avoid excessive computational load. In this paper, we present an approach, called reality, that allows to significantly extend the reach of electronic commerce in travel. Our application addresses in particular the challenge of modeling customers' personal preferences and providing solutions that are tailored to just those preferences. In contrast to existing technology, which allow to optimize only a small and predefined set of preferences, our tool allows a wide variety that can accurately model the preferences of different customers.

AB - Many information systems are used in a problem solving context. Examples are travel planning systems, catalogs in electronic commerce, or agenda planning systems. They can be made more useful by integrating problem-solving capabilities into the information systems. This poses the challenge of scalability: when hundreds of users access a server at the same time, it is important to avoid excessive computational load. In this paper, we present an approach, called reality, that allows to significantly extend the reach of electronic commerce in travel. Our application addresses in particular the challenge of modeling customers' personal preferences and providing solutions that are tailored to just those preferences. In contrast to existing technology, which allow to optimize only a small and predefined set of preferences, our tool allows a wide variety that can accurately model the preferences of different customers.

U2 - 10.1145/952532.952655

DO - 10.1145/952532.952655

M3 - Contribution

T2 - ACM Symposium on Applied Computing (SAC), Melbourne 2003

Y2 - 9 March 2003 through 17 March 2004

ER -

Reality: A scalable intelligent travel planner. Decision support for the business traveler

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