Collaborative Recommendations Using Bayesian Networks and Linguistic Modelling
نویسندگان
چکیده
This paper presents a model designed under the formalism of Bayesian Networks to deal with the problem of collaborative recommendation. It has been designed to perform efficient and effective recommendations. We also consider the fact that the user can usually use vague ratings for the products, which might be represented as fuzzy labels. The complete proposal is evaluated with MovieLens.
منابع مشابه
DisTriB: Distributed Trust Management Model Based on Gossip Learning and Bayesian Networks in Collaborative Computing Systems
The interactions among peers in Peer-to-Peer systems as a distributed collaborative system are based on asynchronous and unreliable communications. Trust is an essential and facilitating component in these interactions specially in such uncertain environments. Various attacks are possible due to large-scale nature and openness of these systems that affects the trust. Peers has not enough inform...
متن کاملDisTriB: Distributed Trust Management Model Based on Gossip Learning and Bayesian Networks in Collaborative Computing Systems
The interactions among peers in Peer-to-Peer systems as a distributed collaborative system are based on asynchronous and unreliable communications. Trust is an essential and facilitating component in these interactions specially in such uncertain environments. Various attacks are possible due to large-scale nature and openness of these systems that affects the trust. Peers has not enough inform...
متن کاملRisk Analysis of Operating Room Using the Fuzzy Bayesian Network Model
To enhance Patient’s safety, we need effective methods for risk management. This work aims to propose an integrated approach to risk management for a hospital system. To improve patient’s safety, we should develop flexible methods where different aspects of risk and type of information are taken into consideration. This paper proposes a fuzzy Bayesian network to model and analyze risk in the op...
متن کاملA Hybrid Personalized Recommendation Method Based on Dynamic Bayesian Network
With the rapid growth and wide application of electronic commerce, lots of information comes forth to people. However, our experiences and knowledge often do not enough to process the vast amount of information. The problem of obtaining useful information becomes more and more serious. To deal with the problem, the personalized service and recommender system play a more important role in many f...
متن کاملIntegration of Activity Modeller with Bayesian Network Based Recommender for Business Processes
Formalized process models help to handle, design and store processes in a form understandable for the designers and users. As model repositories often contain similar or related models, they should be used when modelling new processes in a form of automated recommendations. It is important, as designers prefer to receive and use suggestions during the modelling process. Recommendations make mod...
متن کامل