Multi-criteria collaborative recommender

Hamzaoui, Najma; Sedqui, Abdelfettah; Lyhyaoui, Abdelouahid

doi:10.1109/intech.2012.6457787

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Cited by 2 publications

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Dynamic Communities: A Novel Recommendation Approach for Individuals and Groups

Ben Abdrabbah,

Mallek,

Ben Amor

2024

Lecture Notes in Computer Science

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Dynamic Communities: A Novel Recommendation Approach for Individuals and Groups

Ben Abdrabbah,

Mallek,

Ben Amor

2024

Lecture Notes in Computer Science

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A Dynamic Community-Based Personalization for e-Government Services

Abdrabbah

Ayachi

Amor

2016

Proceedings of the 9th International Conference on Theory and Practice of Electronic Governance

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The government portals and websites contain a wide range of information and services to help citizens and businesses comply in ease with the government requirements. One of the most important challenges for e-Government services is matching particular needs and interests of citizens and businesses to achieve efficient eGovernment services quality. Recommender systems have been proposed to deliver users with the most interesting information service thereby addressing the information overload problem. In this paper, we focus on the implementation of a recommender system in an e-Government context to provide personalized G2C eservices. The proposed approach combines the expert pre-defined categorization of the e-government services and the citizens rating history to identify the relevant services for the active citizen. The efficiency of the proposed e-Government services personalization method is studied via a comparative study with the benchmark item-based and a state-of-the-art recommender system for Government-to-Business e-services. Experimental results show a considerable improvement for the proposed recommendation approach in term of performance and accuracy.

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Multi-criteria collaborative recommender

Cited by 2 publications

References 8 publications

Dynamic Communities: A Novel Recommendation Approach for Individuals and Groups

Dynamic Communities: A Novel Recommendation Approach for Individuals and Groups

A Dynamic Community-Based Personalization for e-Government Services

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