6533b857fe1ef96bd12b4da0
RESEARCH PRODUCT
A service-based recommendation system to assist decision making in a small and medium company
Lylia AbroukNoria TaghezoutNawal Sad HouariDjihene Bourenanesubject
Service (systems architecture)Knowledge managementbusiness.industryComputer scienceProcess (engineering)Context (language use)02 engineering and technologyRecommender systemData modelingShared resourceOrder (business)020204 information systemsSimilarity (psychology)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingbusinessdescription
Collaboration and resource sharing have attracted a great interest among companies. Our contribution relates to this context, providing a decision-making support for companies. We propose a platform to facilitate resource sharing between collaborative companies, through a recommendation system. This system provides similar services that respond to a company’s needs. The approach presented in this paper includes the choice of a representation model for the services as well as the selection of an appropriate measure of similarity. This latter is mainly based on a comparative study of three measures of similarity using several performance evaluation measures. In order to evaluate our approach, the user feedback is integrated with the decision-making process.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2020-12-03 | 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS) |