0000000000464553

AUTHOR

Romain Picot-clemente

showing 3 related works from this author

Contribution of Semantic Web on Customer Relationship Management in E-Tourism

2010

International audience; This paper presents an ongoing research on the development of a customer relationship management in e-tourism. Based both on techniques of the Semantic Web and Adaptive Hypermedia Systems, this paper presents a solution for dynamic adaptation of the offer to customers according to semantic criteria characterizing the Internet. A case study about tourism in Côte d'Or department in Burgundy is presented.

[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]e-tourismsemantic web[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH][ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]profilingadaptive hypermedia systems
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TourismKM: a new Web Semantic based approach for E-Tourism

2010

International audience; Since 1970, technology innovations transformed radically the tourism processes and strategies, essentially with the Internet apparition. Nowadays, E-Tourism systems are well implanted into the Internet, with a lot of offers and online possibilities (reservations, virtual visit, etc.). Nevertheless, with the great evolution of the Internet, users' needs and attends changed too, they are now looking for more personalized and adapted contents. Here is the lack of the most E-Tourism systems, they are not, or a little, user centered. Based both on techniques of the Semantic Web and Adaptive Hypermedia Systems, this paper presents a solution for dynamic adaptation of the o…

[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]Adaptive web systeme-tourism[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]domain ontology[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]adaptive hypermedia system
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AN ONTOLOGY-BASED APPROACH TO PROVIDE PERSONNALIZED RECOMMENDATIONS USING A STOCHASTIC ALGORITHM

2011

International audience; The use of personalized recommender systems to assist users in the selection of products is becoming more and more popular and wide-spread. The purpose of a recommender system is to provide the most suitable items from an knowledge base, according the user knowledge, tastes, interests, ... These items are generally proposed as ordered lists. In this article, we propose to combine works from adaptive hypermedia systems, semantic web and combinatory to create a new kind of recommender systems suggesting combinations of items corresponding to the user.

[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]semantic web[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH][ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]Recommender systemsstochastic processesuser modellingstochastic processes.adaptive hypermedia systemsinformation filtering
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