{"title":"Filmtrust:基于语义的基于社交网络的电影推荐","authors":"J. Golbeck","doi":"10.1109/CCNC.2006.1593265","DOIUrl":null,"url":null,"abstract":"FilmTrust is a website that integrates social networks with movie ratings and reviews. Using FOAF-based social networks augmented with trust ratings, the site computes predictive movie ratings based on the ratings of trusted people in the network. Preliminary results show these results to be significantly more accurate than other predictive ratings in certain situations. This demo will show the FilmTrust website, demonstrate cases where the predictive movie ratings are successful, and illustrate its RDF and OWL output for those interested in the backend.","PeriodicalId":194551,"journal":{"name":"CCNC 2006. 2006 3rd IEEE Consumer Communications and Networking Conference, 2006.","volume":"17 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"Filmtrust: movie recommendations from semantic web-based social networks\",\"authors\":\"J. Golbeck\",\"doi\":\"10.1109/CCNC.2006.1593265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"FilmTrust is a website that integrates social networks with movie ratings and reviews. Using FOAF-based social networks augmented with trust ratings, the site computes predictive movie ratings based on the ratings of trusted people in the network. Preliminary results show these results to be significantly more accurate than other predictive ratings in certain situations. This demo will show the FilmTrust website, demonstrate cases where the predictive movie ratings are successful, and illustrate its RDF and OWL output for those interested in the backend.\",\"PeriodicalId\":194551,\"journal\":{\"name\":\"CCNC 2006. 2006 3rd IEEE Consumer Communications and Networking Conference, 2006.\",\"volume\":\"17 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-02-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CCNC 2006. 2006 3rd IEEE Consumer Communications and Networking Conference, 2006.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCNC.2006.1593265\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CCNC 2006. 2006 3rd IEEE Consumer Communications and Networking Conference, 2006.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCNC.2006.1593265","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Filmtrust: movie recommendations from semantic web-based social networks
FilmTrust is a website that integrates social networks with movie ratings and reviews. Using FOAF-based social networks augmented with trust ratings, the site computes predictive movie ratings based on the ratings of trusted people in the network. Preliminary results show these results to be significantly more accurate than other predictive ratings in certain situations. This demo will show the FilmTrust website, demonstrate cases where the predictive movie ratings are successful, and illustrate its RDF and OWL output for those interested in the backend.