{"title":"一种改进的基于个人资料的个性化搜索建模方法","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":"{\"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}","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}
An improved modeling method for profile-based personalized search
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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