{"title":"基于网络社交网络的图书推荐","authors":"Ming-jian Zhou","doi":"10.1109/ICAIE.2010.5641415","DOIUrl":null,"url":null,"abstract":"Recommender systems play an important role in dealing with web information overload such as book e-commerce. Current recommender systems often generate recommendation on users' opinions on items, and have several fatal weaknesses. With the growth of web social networks, a new kind of information is available: trust rating expressed by an user on another user. The web-based nature of this information makes it ideal for use in a variety of intelligent systems that can take advantage of the users' social and personal data. In this paper, we analysis the problem of trust in social network, then propose a recommender system model based on social network trust and discuss the recommender methods‥","PeriodicalId":216006,"journal":{"name":"2010 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Book recommendation based on web social network\",\"authors\":\"Ming-jian Zhou\",\"doi\":\"10.1109/ICAIE.2010.5641415\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recommender systems play an important role in dealing with web information overload such as book e-commerce. Current recommender systems often generate recommendation on users' opinions on items, and have several fatal weaknesses. With the growth of web social networks, a new kind of information is available: trust rating expressed by an user on another user. The web-based nature of this information makes it ideal for use in a variety of intelligent systems that can take advantage of the users' social and personal data. In this paper, we analysis the problem of trust in social network, then propose a recommender system model based on social network trust and discuss the recommender methods‥\",\"PeriodicalId\":216006,\"journal\":{\"name\":\"2010 International Conference on Artificial Intelligence and Education (ICAIE)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Artificial Intelligence and Education (ICAIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIE.2010.5641415\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Artificial Intelligence and Education (ICAIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIE.2010.5641415","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recommender systems play an important role in dealing with web information overload such as book e-commerce. Current recommender systems often generate recommendation on users' opinions on items, and have several fatal weaknesses. With the growth of web social networks, a new kind of information is available: trust rating expressed by an user on another user. The web-based nature of this information makes it ideal for use in a variety of intelligent systems that can take advantage of the users' social and personal data. In this paper, we analysis the problem of trust in social network, then propose a recommender system model based on social network trust and discuss the recommender methods‥