Search results for "adaptive hypermedia system"
showing 4 items of 4 documents
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…
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.
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.
A Semantic-based Recommender System Using A Simulated Annealing Algorithm
2010
International audience; A recommender system based on semantic web technologies and on an adaptive hypermedia architecture is shown in this paper. The system uses a stochastic algorithm to provide recommendations to users. The paper presents the system architecture based on the semantic Web technologies and explains a simulated annealing algorithm performing the recommendations. A mobile application for the tourism domain proving the feasibility of this system is described at the end of the paper, some benchmarks are presented. In this application, the recommendations are defined as combinations of tourism products, which are linked to each other. The paper is mainly focused on the architec…