{"title":"A new personalization approach by case-based reasoning and fuzzy logic","authors":"Wafa Mahdi, M. Soui, M. Abed","doi":"10.1109/ICAdLT.2014.6864094","DOIUrl":null,"url":null,"abstract":"Nowadays, facing the diversity of users profiles, the emergence of new technologies (mobile phones, PDA...) and the variety of environments (office, home...), searching for relevant information becomes a very difficult process. In this context, personalization can be an appropriate solution to overcome this issue. It aims to provide the user with relevant information corresponding to his/her preferences. Our contribution is a new personalization approach based on both case-based reasoning and fuzzy logic. The aim is to recommend a personalized itinerary taking in consideration the context of use. Finally, we present some experimentation results in the transport field to validate the mentioned approach.","PeriodicalId":166090,"journal":{"name":"2014 International Conference on Advanced Logistics and Transport (ICALT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Advanced Logistics and Transport (ICALT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAdLT.2014.6864094","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Nowadays, facing the diversity of users profiles, the emergence of new technologies (mobile phones, PDA...) and the variety of environments (office, home...), searching for relevant information becomes a very difficult process. In this context, personalization can be an appropriate solution to overcome this issue. It aims to provide the user with relevant information corresponding to his/her preferences. Our contribution is a new personalization approach based on both case-based reasoning and fuzzy logic. The aim is to recommend a personalized itinerary taking in consideration the context of use. Finally, we present some experimentation results in the transport field to validate the mentioned approach.