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A new horizon for the recommendation: Integration of spatial dimensions to aid decision making

Rajani Chulyadyo
Computer science. Université de Nantes, 2016. English. ⟨NNT : ⟩
Thèse tel-01422348v1
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Integrating spatial information into probabilistic relational model

Rajani Chulyadyo , Philippe Leray
2015 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015), 2015, Paris, France. ⟨10.1109/DSAA.2015.7344800⟩
Communication dans un congrès hal-01201226v1

A Personalized Recommender System from Probabilistic Relational Model and Users’ Preferences

Rajani Chulyadyo , Philippe Leray
Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference, KES-2014, Sep 2014, Gdynia, Poland. pp.1063-1072, ⟨10.1016/j.procs.2014.08.193⟩
Communication dans un congrès hal-01084449v1

Core Ontology based Approach for Treating the Flatness of Automatically Built Ontology

Rajani Chulyadyo , Mounira Harzallah , Giuseppe Berio
KEOD, Sep 2013, Portugal. pp.316:323
Communication dans un congrès hal-00911863v1

Relational bayesian networks for recommender systems: review and comparative study

Mouna Ben Ishak , Rajani Chulyadyo , Ahmed Abdelwahab , Miriam Ramirez , Philippe Leray , et al.
ENBIS-SFdS Spring Meeting on graphical causality models: Trees, Bayesian Networks and Big Data, Apr 2014, Paris, France
Communication dans un congrès hal-00957940v1
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Probabilistic Relational Models for Customer Preference Modelling and Recommendation

Rajani Chulyadyo , Philippe Leray
[Research Report] Laboratoire d'Informatique de Nantes Atlantique. 2013
Rapport hal-00967044v1
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Probabilistic Relational Model Benchmark Generation

Mouna Ben Ishak , Rajani Chulyadyo , Philippe Leray
[Technical Report] LARODEC Laboratory, ISG, Université de Tunis, Tunisia; DUKe research group, LINA Laboratory UMR 6241, University of Nantes, France; DataForPeople, Nantes, France. 2016
Rapport hal-01273307v1
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A Framework for Offline Evaluation of Recommender Systems based on Probabilistic Relational Models

Rajani Chulyadyo , Philippe Leray
[Technical Report] Laboratoire des Sciences du Numérique de Nantes; Capacités SAS. 2017
Rapport hal-01666117v1
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Using Probabilistic Relational Models to Generate Synthetic Spatial or Non-spatial Databases

Rajani Chulyadyo , Philippe Leray
Research Challenges in Information Science (RCIS) 2018, 12th International Conference on, May 2018, Nantes, France. pp.1-12, ⟨10.1109/RCIS.2018.8406645⟩
Communication dans un congrès hal-01761901v1