{"title":"An improved modeling method for profile-based personalized search","authors":"Anas El-Ansari, A. B. Hssane, M. Saadi","doi":"10.1145/3386723.3387874","DOIUrl":null,"url":null,"abstract":"A Personalized search system aims to provide tailor-made results for each user's query according to his preferences. Building such a system depends mainly on creating profiles that represent real user interests. In this paper, we present a method for modeling users and creating accurate profiles by implicitly tracking and collecting user-browsing data. Furthermore, we examine techniques to enhance profile accuracy through combining multiple browsing data sources, distinguishing important concepts from irrelevant ones in a user profile, and the concept levels required from a reference ontology to describe user's interests.","PeriodicalId":139072,"journal":{"name":"Proceedings of the 3rd International Conference on Networking, Information Systems & Security","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Conference on Networking, Information Systems & Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3386723.3387874","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
A Personalized search system aims to provide tailor-made results for each user's query according to his preferences. Building such a system depends mainly on creating profiles that represent real user interests. In this paper, we present a method for modeling users and creating accurate profiles by implicitly tracking and collecting user-browsing data. Furthermore, we examine techniques to enhance profile accuracy through combining multiple browsing data sources, distinguishing important concepts from irrelevant ones in a user profile, and the concept levels required from a reference ontology to describe user's interests.
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