{"title":"用于个性化信息检索的基于事件的地理社会用户配置文件","authors":"Rafa Tahar, Kechid Samir","doi":"10.1109/EDIS.2017.8284030","DOIUrl":null,"url":null,"abstract":"The user of a social website is often interested by information about events that have interested other users, especially his friends, and that appear remarkably in their researches, exchanges and sharing. In this paper, for a better description of the user and his interests, we propose: (i) a geosocial user profile that takes into account the event aspect of user information needs, (ii) a search process integrating the user profile for a better personalization and adaptation of the search results.","PeriodicalId":401258,"journal":{"name":"2017 First International Conference on Embedded & Distributed Systems (EDiS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An event-based geo-social user profile for a personalized information retrieval\",\"authors\":\"Rafa Tahar, Kechid Samir\",\"doi\":\"10.1109/EDIS.2017.8284030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The user of a social website is often interested by information about events that have interested other users, especially his friends, and that appear remarkably in their researches, exchanges and sharing. In this paper, for a better description of the user and his interests, we propose: (i) a geosocial user profile that takes into account the event aspect of user information needs, (ii) a search process integrating the user profile for a better personalization and adaptation of the search results.\",\"PeriodicalId\":401258,\"journal\":{\"name\":\"2017 First International Conference on Embedded & Distributed Systems (EDiS)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 First International Conference on Embedded & Distributed Systems (EDiS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EDIS.2017.8284030\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 First International Conference on Embedded & Distributed Systems (EDiS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDIS.2017.8284030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An event-based geo-social user profile for a personalized information retrieval
The user of a social website is often interested by information about events that have interested other users, especially his friends, and that appear remarkably in their researches, exchanges and sharing. In this paper, for a better description of the user and his interests, we propose: (i) a geosocial user profile that takes into account the event aspect of user information needs, (ii) a search process integrating the user profile for a better personalization and adaptation of the search results.
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