B. Last, fm: Music recommendation service Retrieved from http, 2009.

S. Aciar, D. Zhang, S. Simoff, and J. Debenham, Informed Recommender: Basing Recommendations on Consumer Product Reviews, IEEE Intelligent Systems, vol.22, issue.3, pp.39-47, 2007.
DOI : 10.1109/MIS.2007.55
URL : http://dugi-doc.udg.edu//bitstream/10256/2554/1/345.pdf

G. Adomavicius and &. T. , Toward the next generation of recommender systems: A survey, IEEE Transactions on Knowledge and Data, pp.734-749, 2005.

J. Ahn, P. Brusilovsky, J. Grady, D. He, and S. Syn, Open user profiles for adaptive news systems, Proceedings of the 16th international conference on World Wide Web , WWW '07, pp.11-20, 2007.
DOI : 10.1145/1242572.1242575

K. Ali and W. Van-stam, TiVo, Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '04, pp.394-401, 2004.
DOI : 10.1145/1014052.1014097

S. Anand and B. Mobasher, Intelligent techniques for web personalizatio. Intelligent Techniques for Web Personalization, pp.1-36, 2005.

J. S. Armstrong, Principles of Forecasting. A Handbook for Researchers and Practitioners, 2001.

F. Asnicar and C. Tasso, ifWeb: a Prototype of User Model-based Intelligent Agent for Documentation Filtering and Navigation in the Word Wide Web, First International Workshop on Adaptive Systems and User Modeling on the World Wide Web, pp.3-12, 1997.

P. Avella, B. Dauria, and S. Salerno, A LP-based heuristic for a time-constrained routing problem, European Journal of Operational Research, vol.173, issue.1, 2006.
DOI : 10.1016/j.ejor.2004.09.055

R. Baeza-yates and B. Ribeiro-neto, Modern Information Retrieval, 1999.

M. S. Balabanovic, Fab: content-based, collaborative recommendation, Communications of the ACM, vol.40, issue.3, pp.66-72, 1997.
DOI : 10.1145/245108.245124

P. Basile, M. De-gemmis, A. Gentile, L. Iaquinta, and P. Lops, The JUMP project: Domain Ontologies and Linguistic Knowledge @ Work. 4th Italian Semantic Web Applications and Perspectives -SWAP, 2007.

P. Basile, M. De-gemmis, A. Gentile, L. Iaquinta, P. Lops et al., An Electronic Performance Support System Based on a Hybrid Content-Collaborative Recommender System, Neural Network World: International Journal on Neural and Mass-Parallel Computing and Information Systems, pp.529-541, 2007.

P. Basile, M. Degemmis, A. Gentile, P. Lops, and G. Semeraro, UNIBA, Proceedings of the 4th International Workshop on Semantic Evaluations, SemEval '07, pp.398-401, 2007.
DOI : 10.3115/1621474.1621562

R. Bell and Y. Koren, Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights, Seventh IEEE International Conference on Data Mining (ICDM 2007), pp.43-52, 2007.
DOI : 10.1109/ICDM.2007.90
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.183.979

R. Bell, Y. Koren, and C. Volinsky, Modeling relationships at multiple scales to improve accuracy of large recommender systems, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '07, pp.95-104, 2007.
DOI : 10.1145/1281192.1281206

T. Berners-lee, What the Semantic Web can represent ? Retrieved from http, 1998.

T. Berners-lee, J. Hendler, and O. Lassila, The Semantic Web, Scientific American, vol.284, issue.5, 2001.
DOI : 10.1038/scientificamerican0501-34

D. Billsus and M. Pazzani, A Hybrid User Model for News Story Classification, Seventh International Conference on User Modeling, 1999.
DOI : 10.1007/978-3-7091-2490-1_10

D. Billsus and M. Pazzani, User Modeling for Adaptive News Access. User Modeling and User-Adapted Interaction, pp.147-180, 2000.

Y. Blanco-fernandez, J. , P. J. , G. S. Ramos-cabrer, M. Lopez-nores et al., Providing entertainment by content-based filtering and semantic reasoning in intelligent recommender systems, IEEE Transactions on Consumer Electronics, pp.727-735, 2008.
DOI : 10.1109/TCE.2008.4560154

D. Blei, A. Ng, and M. Jordan, Latent dirichlet allocation, Journal of Machine Learning Research, pp.993-1022, 2003.

K. Bollacker and C. Giles, CiteSeer, Proceedings of the second international conference on Autonomous agents , AGENTS '98, pp.116-123, 1998.
DOI : 10.1145/280765.280786

J. Breese, D. Heckerman, and C. Kadie, Empirical analysis of predictive algorithms for collaborative filtering, 14th Annual Conf. on Uncertainty in Artificial Intelligence, pp.43-52, 1998.

P. Brusilovsky, Methods and techniques of adaptive hypermedia. User Models and User Adapted Interaction 6, 1996.

R. Burke, Hybrid web recommender systems. The AdaptiveWeb, pp.377-408, 2007.
DOI : 10.1007/978-3-540-72079-9_12
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.395.8975

I. Cantador and P. Castells, A multilayered ontology-based user profiles and semantic social networks for recommender systems, 2nd International Workshop on Web Personalisation Recommender Systems and Intelligent User Interfaces in Conjunction with 7th International Conference in Adaptive Hypermedia, 2006.

I. Cantador, A. Bellogin, and P. Castells, News@hand: A Semantic Web Approach to Recommending News Adaptive Hypermedia and Adaptive Web-Based Systems, pp.279-283, 2008.

A. Cauchy, Méthode générale pour la résolution des systèmes d'équations simultanées, 1847.

O. Celma and X. Serra, FOAFing the Music: Bridging the Semantic Gap in Music Recommendation, Web Semantics, pp.250-256, 2008.

O. Celma, M. Ramirez, and P. Herrera, Foafing the Music: A Music Recommendation System based on RSS Feeds and User Preferences, 6th International Conference on Music Information Retrieval (ISMIR), pp.464-467, 2005.

L. Chen and K. Sycara, WebMate, Proceedings of the second international conference on Autonomous agents , AGENTS '98, pp.9-13, 1998.
DOI : 10.1145/280765.280789

L. Chen, S. Khan, K. Li, and E. Manning, Building an adaptive multimedia system using the utility model, Lecture Notes in Computer Science, 1999.
DOI : 10.1007/BFb0097911

M. Claypool, A. Gokhale, T. Miranda, P. Murnikov, D. Netes et al., Combining Content-Based and Collaborative Filters in an Online Newspaper, ACM SIGIR Workshop on Recommender Systems, 1999.

A. Collins and E. Loftus, A Spreading Activation Theory of Semantic Processing, Psychological Review, pp.407-428, 1975.

A. Colorni, M. Dorigo, and V. Maniezzo, Distributed optimization by ant colonies, Proceedings of the First European Conference on Artificial Life, pp.134-142, 1991.

A. Cristea and A. De-mooij, LAOS: Layered WWW AHS Authoring Model and their corresponding Algebraic Operators, WWW 2003 Conference, 2003.

D. Bra, P. Calvi, and L. , AHA! an open adaptive hypermedia architecture. Hypermedia, pp.115-139, 1998.
DOI : 10.1080/13614569808914698
URL : http://repository.tue.nl/678893

D. Bra, P. Aerts, A. Smits, D. Stash, and N. , AHA! Version 2.0, More Adaptation Flexibility for Authors, World Conference on e-Learning in Corporate, Government, Healthcare and Higher Education, 2002.

D. Bra, P. Houben, G. Wu, and H. , AHAM: A dexter-based reference model for adaptive hypermedia, 1999.

D. Bra, P. Wu, H. Houben, and G. , Supporting user adaptation in adaptive hypermedia applications, 2000.

M. Degemmis, P. Lops, and G. Semeraro, A Content-collaborative Recommender that ExploitsWordNetbased User Profiles for Neighborhood Formation. User Modeling and User-Adapted Interaction: The Journal of Personalization Research (UMUAI, pp.217-255, 2007.

M. Deshpande and G. Karypis, recommendation algorithms, ACM Transactions on Information Systems, vol.22, issue.1, pp.143-177, 2004.
DOI : 10.1145/963770.963776

G. Dueck and T. Scheuer, Threshold accepting: A general purpose optimization algorithm appearing superior to simulated annealing, Journal of Computational Physics, vol.90, issue.1, pp.161-175, 1990.
DOI : 10.1016/0021-9991(90)90201-B

M. Eirinaki, M. Vazirgiannis, and I. Varlamis, SEWeP, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '03, pp.99-108, 2003.
DOI : 10.1145/956750.956765

S. Geman and D. Geman, Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, pp.721-741, 1984.

F. Glover, Furture paths for integer programming and links to artificial intelligence, Computers and Operations Research, pp.533-549, 1986.

D. Goldberg, D. Nichols, B. Oki, and D. Terry, Using collaborative filtering to weave an information tapestry, Communications of the ACM, vol.35, issue.12, pp.61-70, 1992.
DOI : 10.1145/138859.138867

M. Grcar, B. Fortuna, D. Mladenic, and M. Grobelnik, k-NN versus SVM in the collaborative filtering framework. Data Science and Classification, pp.251-260, 2006.

T. R. Gruber, Toward principles for the design of ontologies used for knowledge sharing. International Workshop on Formal Ontology, 1993.

F. Halasz and M. Schwartz, The dexter reference model, 1990.

N. Henze, Adaptive hyperbooks: Adaptation for project-based learning resources, 2000.

W. Hill, L. Stead, M. Rosenstein, and G. Furnas, Recommending and evaluating choices in a virtual community of use, Proceedings of the SIGCHI conference on Human factors in computing systems, CHI '95, 1995.
DOI : 10.1145/223904.223929

T. Hofmann, Collaborative filtering via gaussian probabilistic latent semantic analysis, Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval , SIGIR '03, 2003.
DOI : 10.1145/860435.860483
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.7.2476

J. Holland, Adaptation in natural and artificial systems, 1975.

M. Ikeda, Ontology as Theoretical Foundations of Knowledge Engineering, J. Jpn. Soc. for Artificial intelligence, vol.13, pp.11-13, 1998.

I. Jacobs and N. Walsh, Architecture of the World Wide Web, 2004.

D. Jannach, Finding Preferred Query Relaxations in Content-based Recommenders, 2006 3rd International IEEE Conference Intelligent Systems, pp.355-360, 2006.
DOI : 10.1109/IS.2006.348445

T. Joachims, D. Freitag, and T. Mitchell, Web Watcher: A Tour Guide for the World Wide Web, 15th International Joint Conference on Artificial Intelligence, pp.770-777, 1997.

T. Kamba, H. Sakagami, and Y. Koseki, Antagonomy: A Personalized Newspaper on the World Wide Web, 2007.

R. M. Karp, Reducibility among combinatorial, Complexity of Computer Computations, pp.85-103, 1972.
DOI : 10.1007/978-3-540-68279-0_8

N. Koch and M. Wirsing, The Munich Reference Model for Adaptive Hypermedia Applications, 2nd International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, pp.213-222, 2002.
DOI : 10.1007/3-540-47952-X_23

J. Konstan, B. Miller, D. Maltz, J. Herlocker, L. Gordon et al., GroupLens: applying collaborative filtering to Usenet news, Communications of the ACM, vol.40, issue.3, pp.77-87, 1997.
DOI : 10.1145/245108.245126
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.6332

Y. Koren, Factorization meets the neighborhood, Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD 08, pp.426-434, 2008.
DOI : 10.1145/1401890.1401944

Y. Koren, R. Bell, and C. Volinsky, Matrix Factorization Techniques for Recommender Systems, Computer, vol.42, issue.8, pp.30-37, 2009.
DOI : 10.1109/MC.2009.263
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.8295

M. Lagoudakis, The 0-1 knapsack problem: An introductory survey, 1996.

H. Liberman, Letizia: An Agent that Assists Web Browsing, International Joint Conference on Artificial Intelligence (IJCAI-95), pp.924-929, 1995.

G. Lilien, P. Kotler, and K. Moorthy, Marketing Models, 1992.

G. Linden, . Smith, and J. York, Amazon.com recommendations: item-to-item collaborative filtering, IEEE Internet Computing, vol.7, issue.1, pp.76-80, 2003.
DOI : 10.1109/MIC.2003.1167344

B. Magnini and C. Strapparava, Experiments in Word Domain Disambiguation for Parallel Texts. SIGLEX Workshop on Word Senses and Multi-linguality, 2000.

B. Magnini and C. Strapparava, Improving User Modelling with Content-Based Techniques, 8th International Conference of User Modeling, pp.74-83, 2001.
DOI : 10.1007/3-540-44566-8_8

T. Mahmood and F. Ricci, Improving recommender systems with adaptive conversational strategies, Proceedings of the 20th ACM conference on Hypertext and hypermedia, HT '09, pp.73-82, 2009.
DOI : 10.1145/1557914.1557930

H. Mak, I. Koprinska, and J. Poon, INTIMATE: a Web-based movie recommender using text categorization, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003), pp.602-605, 2003.
DOI : 10.1109/WI.2003.1241277

S. Martello and P. Toth, Knapsack problems: algorithms and computer implementations, 1990.

F. Mcsherry and I. Mironov, Differentially private recommender systems, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, pp.627-636, 2009.
DOI : 10.1145/1557019.1557090

P. Melville, R. Mooney, and R. Nagarajan, Content-Boosted Collaborative Filtering for Improved Recommendations, Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence (AAAI/IAAI-02), pp.187-192, 2002.

N. Metropolis, M. Rosenbluth, A. Rosenbluth, A. Teller, and E. Teller, Equation of State Calculations by Fast Computing Machines, The Journal of Chemical Physics, vol.21, issue.6, pp.1087-1091, 1953.
DOI : 10.1063/1.1699114

S. Middleton, H. Alani, N. Shadbolt, and D. De-roure, Exploiting synergy between ontologies and recommender systems. WWW international workshop on the semantic web, 2002.

S. Middleton, N. Shadbolt, and D. De-roure, Ontological user profiling in recommender systems, ACM Transactions on Information Systems, vol.22, issue.1, pp.54-88, 2004.
DOI : 10.1145/963770.963773

M. Minio and C. Tasso, User Modeling for Information Filtering on INTERNET Services: Exploiting an Extended Version of the UMT Shell, UM96 Workshop on User Modeling for Information Filtering on the WWW, 1996.

D. Mladenic, Machine learning used by PersonalWebWatcher, ACAI-99 Workshop on Machine Learning and Intelligent Agents, 1999.

D. Mladenic, Text-learning and related intelligent agents: a survey, IEEE Intelligent Systems, vol.14, issue.4, pp.44-54, 1999.
DOI : 10.1109/5254.784084

R. Mooney and L. Roy, Content-based book recommending using learning for text categorization, Proceedings of the fifth ACM conference on Digital libraries , DL '00, pp.195-204, 2000.
DOI : 10.1145/336597.336662

A. Moukas, Amalthaea information discovery and filtering using a multiagent evolving ecosystem, Applied Artificial Intelligence, vol.11, issue.5, pp.437-457, 1997.
DOI : 10.1080/088395197118127

R. Mukherjee, G. Jonsdottir, S. Sen, and P. Sarathi, MOVIES2GO, Proceedings of the fifth international conference on Autonomous agents , AGENTS '01, pp.114-115
DOI : 10.1145/375735.376018

B. Murthi and S. Sarkar, The Role of the Management Sciences in Research on Personalization, Management Science, pp.1344-1362, 2003.

. Netflix, Retrieved from www.netflix

T. Nicholson, Optimization in industry. Optimization Techniques, 1971.

P. Internet and R. , Retrieved from http

A. Paterek, Improving regularized singular value decomposition for collaborative filtering, 2007.

M. B. Pazzani, Content-Based Recommendation Systems. The Adaptive Web, pp.325-341, 2007.
DOI : 10.1007/978-3-540-72079-9_10
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.8327

M. Pazzani and D. Billsus, Learning and Revising User Profiles: The Identification of Interesting Web Sites, Machine Learning, pp.313-331, 1997.

M. Pazzani, J. Muramatsu, and D. Billsus, Syskill and Webert: Identifying Interesting Web Sites Menlo Park, Thirteenth National Conference on Artificial Intelligence and the Eighth Innovative Applications of Artificial Intelligence Conference, pp.54-61, 1996.

M. J. Powell, Approximation Theory and Methods, 1981.

R. Quillian, Semantic memory. Semantic information processing, pp.227-270, 1968.

I. Rechenberg, Evolutionsstrategie: Optimierung technischer Systeme nach Prinzipien. Frommann- Holzboog, 1973.

P. Resnick and H. Varian, Recommender systems, Communications of the ACM, vol.40, issue.3, pp.56-58, 1997.
DOI : 10.1145/245108.245121

P. Resnick, N. Iakovou, M. Sushak, P. Bergstrom, and J. Riedl, GroupLens, Proceedings of the 1994 ACM conference on Computer supported cooperative work , CSCW '94, 1994.
DOI : 10.1145/192844.192905

E. Rich, User Modeling via Stereotypes*, Cognitive Science, vol.84, issue.4, pp.329-354, 1979.
DOI : 10.1207/s15516709cog0304_3

R. Salakhutdinov, A. Mnih, and G. Hinton, Restricted Boltzmann machines for collaborative filtering, Proceedings of the 24th international conference on Machine learning, ICML '07, pp.791-798, 2007.
DOI : 10.1145/1273496.1273596

J. Salter and N. Antonoupoulos, CinemaScreen Recommender Agent: Combining Collaborative and Content-Based Filtering, IEEE Intelligent Systems, vol.21, issue.1, pp.35-41, 2006.
DOI : 10.1109/MIS.2006.4
URL : http://epubs.surrey.ac.uk/1833/1/fulltext.pdf

G. Salton, Automatic Text Processing, 1989.

J. Schafer, D. Frankowski, J. Herlocker, and S. Sen, Collaborative filtering recommender systems. The Adaptive Web, pp.291-324, 2007.
DOI : 10.1007/978-3-540-72079-9_9
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.4520

B. Schwartz, The Paradox of Choice. ECCO, 2004.

H. Schwefel, Evolution and Optimum Seeking, 1995.

G. Semeraro, P. Basile, M. De-gemmis, and P. Lops, User Profiles for Personalizing Digital Libraries, Handbook of Research on Digital Libraries: Design, Development and Impact, pp.149-158, 2009.
DOI : 10.4018/978-1-59904-879-6.ch015

G. Semeraro, M. Degemmis, P. Lops, and P. Basile, Combining Learning and Word Sense Disambiguation for Intelligent User Profiling, 20th International Joint Conference on Artificial Intelligence, pp.2856-2861, 2007.

U. Shardanand and P. Maes, Social information filtering, Proceedings of the SIGCHI conference on Human factors in computing systems, CHI '95, 1995.
DOI : 10.1145/223904.223931

B. Sheth and P. Maes, Evolving agents for personalized information filtering, Proceedings of 9th IEEE Conference on Artificial Intelligence for Applications, pp.345-352, 1993.
DOI : 10.1109/CAIA.1993.366590

A. Sieg, B. Mobasher, and R. Burke, Leaning Ontology-Based User Profiles: A Semantic Approach to Personalized Web Search, IEEE Intelligent Informatics Bulletin, 2007.

B. Smith and P. Cotter, A Personalized TV Listings Service for the Digital TV Age. Knowledge-Based Systems, pp.53-59, 2000.

H. Sorensen, A. O-'riordan, and C. O-'riordan, Profiling with the INFOrmer Text Filtering Agent, Journal of Universal Computer Science, pp.988-1006, 1997.

N. Stash, Incorporating cognitive/learning styles in a general-purpose adaptive hypermedia system, ACM SIGWEB Newsletter, vol.2007, issue.Winter, 2007.
DOI : 10.1145/1324960.1324963

A. Stefani and C. Strapparava, Personalizing Access toWeb Sites: The SiteIF Project, Second Workshop on Adaptive Hypertext and Hypermedia, 1998.

P. Straffin, Topics in the Theory of Voting. The UMAP expository monograph series, 1980.

P. Symeonidis, Content-based Dimensionality Reduction for Recommender Systems. Data Analysis, Machine Learning and Applications, Studies in Classification, Data Analysis, and Knowledge Organization, pp.619-626, 2008.

A. Wasfi, Collecting User Access Patterns for Building User Profiles and Collaborative Filtering, International Conference on Intelligent User Interfaces, pp.57-64, 1999.

C. Welty, M. Smith, and D. Mcguinness, OWL Web Ontology Language Guide. W3C, 2004.

C. Zitnick and T. Kanade, Maximum entropy for collaborative filtering, 20th Conf. on Uncertainty in Artificial Intelligence, pp.636-643, 2004.

P. Clémente and R. , Résumé thèse Cédric Jacquiot : Modèle générique pour la création de systèmes hypermédias adaptatifs, 2009.

P. Clémente and R. , Comparaison entre Ajax et Flash, 2009.

P. Clémente and R. , Introduction aux ontologies, 2009.

P. Clémente and R. , Construction, initialisation et mise à jour du modèle utilisateur, 2009.

P. Clémente and R. , Etat de la recherche en eTourisme, 2009.

P. Clémente and R. , Systèmes de recommandation basés sur les ontologies, 2009.

P. Clémente and R. , Mécanisme d'adaptation pour la navigation adaptative, 2009.

P. Clémente and R. , Définition d'un ensemble de règles pour la construction de l'ontologie et prospective technique, 2009.

P. Clémente and R. , Définition d'une ontologie modélisant le domaine et une ontologie modélisant l'utilisateur issue de capitalisation de la connaissance depuis un corpus de documents et de l'interview des acteurs du domaine, 2009.

P. Clémente and R. , Modélisation de l'utilisateur et moteur d'adaptation, 2009.

P. Clémente and R. , Système hypermédia adaptatif et processus de construction d'une ontologie de domaine basée sur une base de données, Le2i, 2009.

P. Clémente, R. Etude, and «. Gaf, Generic Adaptation Framework, 2009.

P. Clémente and R. , Construction ontologie à partir de vues sur la base de données, 2009.

P. Clémente and R. , Etude de « AHA! An open Adaptive Hypermedia Architecture, 1998.

P. Clémente and R. , Etude de « Creating Adaptive Web-Based Applications, 2005.

R. Picot-clémente, Définition d'une architecture générique des systèmes hypermédia adaptatifs, 2009.

R. Picot-clémente, algorithme du recuit simulé appliqué à l'adaptation du contenu d'un système hypermédia adaptatif, 2009.

R. Picot-clémente, Fonctionnement de l'application hypermédia adaptative touristique -du profilage utilisateur à la recommandation, 2010.

R. Picot-clémente, Avancement du développement du système hypermédia adaptatif, 2010.

R. Picot-clémente, Logiques de représentation de la connaissance, application à notre ontologie, 2010.

R. Picot-clémente, Recommandation à des groupes, 2010.

R. Picot-clémente, Formalisation du problème, 2010.

R. Picot-clémente, Etat de l'art et comparaison entre systèmes de recommandation, 2010.

R. Picot-clémente, Problèmes d'optimisation, Le2i, 2010.

R. Picot-clémente, Proposition d'amélioration du principe de pondération, 2010.

P. Picot-clémente, R. Mendes, F. Cruz, C. Nicolle, and C. Tourism-km, A variant of MMKP applied to the tourism domain, 1st International Conference on Operations Research and Enterprise Systems Portugal, 2012.

R. Picot-clémente, C. Cruz, and C. Nicolle, An ontology-based approach to provide personalized recommendations using a stochastic algorithm, WEBIST Special Session on Semantic Web Applications and Tools (SWAT 2011), 2011.

R. Picot-clémente, C. Cruz, and C. Nicolle, A Semantic-based Recommender System Using A Simulated Annealing Algorithm, The Fourth International Conference on Advances in Semantic Processing, 2010.

R. Picot-clémente, C. Cruz, and C. Nicolle, TourismKM: a new Web Semantic based approach for E-Tourism

R. Picot-clémente, C. Cruz, and C. Nicolle, Contribution of Semantic Web on Customer Relationship Management in E-Tourism, CBETM 2010, International Conference on Business, Economics and Tourism Management, 2010.