Every company, considers documentation as the engine of its productivity. Recommendation systems ... more Every company, considers documentation as the engine of its productivity. Recommendation systems allow the diffusion of knowledge between experts and operators in an efficient and a fast manner [1]. The goal of a trust-based recommendation system is to generate personalized recommendations by aggregating the opinions of users in the trust group [2]. In this paper, we present new modelling approach to build trust communities for recommending relevant documents to industrial operators based on collaborative filtering (CF) algorithm and Hierarchical Ascending Classification (HAC) method. The idea is that documents recommendation depends not only on operators� needs and preferences but also on the trust relationships between these latter. Based on this idea, we suggest reliable documents recommendation tool in the industrial environment where operators can express their preferences towards a set of documents. An analysis of trust among operators within a group is performed to identify trusted operators. The groups of operators are formed by the HAC method. This approach is based mainly on the trust model that calculates the importance of a user within his group according to three metrics: his implicit self-confidence, his interests, and his activity score. This model allows a significant reduction of recommendation time by taking into account the group of trusted operators to predict new reliable recommendation.
International Journal of Decision Support System Technology, 2016
In this paper, the authors describe the development of a Decision Support System (DSS) in the spu... more In this paper, the authors describe the development of a Decision Support System (DSS) in the spunlace nonwoven production industry. The suggested DSS utilizes domain ontology and a collaborative platform that allows operators to share and exchange experiences in the industrial diagnosis in order to have new ideas and useful information for collaborative decision-making. One of the main aspects addressed in the decision-making process was the knowledge management of the most frequently breakdowns of machines as the card, aquajet etc. This paper introduces the architecture of the system, including several modules such as, Reasoning engine and Similarity module, etc. The decision-making is reinforced by a case-based reasoning to recommend solutions where previously solved cases (problem) are compared to recently encountered ones using the same ontology to define similarity between cases. Some experiments have been conducted in INOTIS enterprise to indicate the efficiency of the propos...
Every company, considers documentation as the engine of its productivity. Recommendation systems ... more Every company, considers documentation as the engine of its productivity. Recommendation systems allow the diffusion of knowledge between experts and operators in an efficient and a fast manner [1]. The goal of a trust-based recommendation system is to generate personalized recommendations by aggregating the opinions of users in the trust group [2]. In this paper, we present new modelling approach to build trust communities for recommending relevant documents to industrial operators based on collaborative filtering (CF) algorithm and Hierarchical Ascending Classification (HAC) method. The idea is that documents recommendation depends not only on operators� needs and preferences but also on the trust relationships between these latter. Based on this idea, we suggest reliable documents recommendation tool in the industrial environment where operators can express their preferences towards a set of documents. An analysis of trust among operators within a group is performed to identify t...
In this paper, a semantic collaborative WEB platform is proposed to implement the collaborative m... more In this paper, a semantic collaborative WEB platform is proposed to implement the collaborative manufacturing environment that evaluates the costs of products, detect risk situations and provides suggestions and recommendations that can help to avoid possible undesirable situations in the spunlace nonwovens production. Our collaborative platform relies on WEB2.0 technologies, domain ontology and agents. These allow you to share and exchange experiences in the industrial diagnosis to have new ideas and useful information for decision-making. The global collaborative decision model is applied to the spunlace nonwovens production industry. INOTIS enterprise is a candidate for our study.
Every company, considers documentation as the engine of its productivity. Recommendation systems ... more Every company, considers documentation as the engine of its productivity. Recommendation systems allow the diffusion of knowledge between experts and operators in an efficient and a fast manner [1]. The goal of a trust-based recommendation system is to generate personalized recommendations by aggregating the opinions of users in the trust group [2]. In this paper, we present new modelling approach to build trust communities for recommending relevant documents to industrial operators based on collaborative filtering (CF) algorithm and Hierarchical Ascending Classification (HAC) method. The idea is that documents recommendation depends not only on operators� needs and preferences but also on the trust relationships between these latter. Based on this idea, we suggest reliable documents recommendation tool in the industrial environment where operators can express their preferences towards a set of documents. An analysis of trust among operators within a group is performed to identify trusted operators. The groups of operators are formed by the HAC method. This approach is based mainly on the trust model that calculates the importance of a user within his group according to three metrics: his implicit self-confidence, his interests, and his activity score. This model allows a significant reduction of recommendation time by taking into account the group of trusted operators to predict new reliable recommendation.
International Journal of Decision Support System Technology, 2016
In this paper, the authors describe the development of a Decision Support System (DSS) in the spu... more In this paper, the authors describe the development of a Decision Support System (DSS) in the spunlace nonwoven production industry. The suggested DSS utilizes domain ontology and a collaborative platform that allows operators to share and exchange experiences in the industrial diagnosis in order to have new ideas and useful information for collaborative decision-making. One of the main aspects addressed in the decision-making process was the knowledge management of the most frequently breakdowns of machines as the card, aquajet etc. This paper introduces the architecture of the system, including several modules such as, Reasoning engine and Similarity module, etc. The decision-making is reinforced by a case-based reasoning to recommend solutions where previously solved cases (problem) are compared to recently encountered ones using the same ontology to define similarity between cases. Some experiments have been conducted in INOTIS enterprise to indicate the efficiency of the propos...
Every company, considers documentation as the engine of its productivity. Recommendation systems ... more Every company, considers documentation as the engine of its productivity. Recommendation systems allow the diffusion of knowledge between experts and operators in an efficient and a fast manner [1]. The goal of a trust-based recommendation system is to generate personalized recommendations by aggregating the opinions of users in the trust group [2]. In this paper, we present new modelling approach to build trust communities for recommending relevant documents to industrial operators based on collaborative filtering (CF) algorithm and Hierarchical Ascending Classification (HAC) method. The idea is that documents recommendation depends not only on operators� needs and preferences but also on the trust relationships between these latter. Based on this idea, we suggest reliable documents recommendation tool in the industrial environment where operators can express their preferences towards a set of documents. An analysis of trust among operators within a group is performed to identify t...
In this paper, a semantic collaborative WEB platform is proposed to implement the collaborative m... more In this paper, a semantic collaborative WEB platform is proposed to implement the collaborative manufacturing environment that evaluates the costs of products, detect risk situations and provides suggestions and recommendations that can help to avoid possible undesirable situations in the spunlace nonwovens production. Our collaborative platform relies on WEB2.0 technologies, domain ontology and agents. These allow you to share and exchange experiences in the industrial diagnosis to have new ideas and useful information for decision-making. The global collaborative decision model is applied to the spunlace nonwovens production industry. INOTIS enterprise is a candidate for our study.
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Papers by Fatima Zohra BENKADDOUR