POMDP planning for the creation of service packages
The generation of complex systems where the user requires decisions based on several criteria involves building a relationship of global preference for a set of alternatives evaluated. Between these systems there are the Tourist Systems, that was impulse by internet like a facilitator in the access...
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| Autores principales: | , , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2014
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/41853 http://43jaiio.sadio.org.ar/proceedings/IJCAI/29-30.pdf |
| Aporte de: |
| Sumario: | The generation of complex systems where the user requires decisions based on several criteria involves building a relationship of global preference for a set of alternatives evaluated. Between these systems there are the Tourist Systems, that was impulse by internet like a facilitator in the access of different sources of information for travel planning. Currently, tourists should not only visit multiple independent Web sites (airlines, hotels, etc.) and await a considerable time receiving confirmation responses.
All these actions required generating a stochastic system that can meet the services and generate plans. Are being studied POMDP algorithms, in order to obtain a method for packages tailored to user requirements. Under the hypothetical-deductive methodology, this includes the study of service pakage´s composition, application, comparison and validation by a computer prototype with real users for a Web Recommender System. This thesis is framed within a PICT project called "E-OASIS Integrated Travel Services to facilitate easy access to Local Cultural Heritage" whose technical objective is to develop a Customized Recommender System for Tourist Services in the Province of San Juan. The automatic planning in real world problems has become a subject of interest to the scientific community because it allows computationally establish courses of action in cases where a human cannot addressed adequately for the complexity.
The motivation for this work focuses on two aspects of the automatic planning, the scientific contributions and its practice application.
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