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A METHODOLOGY FOR DESIGNING A RECOMMENDER SYSTEM BASED ON CUSTOMER PREFERENCES
International audience -
Dynamic situation monitoring and Context-Aware BI recommendations
The amount of information generated and maintained by information systems and their users leads to the increasingly important concern of information overload.... -
Datasets for Technology Enhanced Learning
The workshop was motivated by the issue that very less educational datasets are publicly available in TEL, so that the outcomes of different TEL adaptive applications... -
Hybrid-epsilon-greedy for mobile context-aware recommender system
International audience -
Hybridising collaborative filtering and trust-aware recommender systems
International audience -
User Semantic Preferences for Collaborative Recommendations
International audience -
From Neighbors to Global Neighbors in Collaborative Filtering: an Evolutionar...
International audience -
Ontology-based Recommender System of Economic Articles
International audience -
A fuzzy associative classification approach for recommender systems
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE -
Decomposable graphical models for individual and collective decision
This thesis focuses on the use of GAI-Nets, a graphical model for compact preference representation, in order to achieve the usual features of a recommender system in... -
Recommendation of shopping places based on social and geographical influences
International audience -
Local Trust Versus Global Trust Networks in Subjective Logic
International audience -
When Diversity Is Needed... But Not Expected!
International audience -
A Unified Approach To Collaborative Data Visualization
Much efforts have lately been concentrated on increasing the precision of recommendations following the Netflix Prize competition. Recently, many researchers and... -
Improving New User Recommendations with Rule-based Induction on Cold User Data
International audience -
Exploitation des données "disponibles à froid" pour améliorer le démarrage à ...
International audience -
Private Peer-to-peer similarity computation in personalized collaborative pla...
In this thesis, we consider a distributed collaborative platform in which each peer hosts his private information, such as the URLs he liked or the news articles that...
