基于用户偏好的科技文献推荐模型研究

Xuefeng Li, Baowen Sun
{"title":"基于用户偏好的科技文献推荐模型研究","authors":"Xuefeng Li, Baowen Sun","doi":"10.1109/ICMECG.2012.67","DOIUrl":null,"url":null,"abstract":"How to describe the features of users 'literature searching behavior has much more influences upon the efficiency of literature recommendation. Based on analyzing three key literature searching behavior, we assign several weight for those behavior so as to evaluate users' preferences. And then propose a user preference based recommendation model. Through simulation experiment, it is proved that our model had good performance and could improve the literature service quality effectively.","PeriodicalId":276201,"journal":{"name":"2012 International Conference on Management of e-Commerce and e-Government","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Recommendation Model of Technology Literature Based on User Preference\",\"authors\":\"Xuefeng Li, Baowen Sun\",\"doi\":\"10.1109/ICMECG.2012.67\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"How to describe the features of users 'literature searching behavior has much more influences upon the efficiency of literature recommendation. Based on analyzing three key literature searching behavior, we assign several weight for those behavior so as to evaluate users' preferences. And then propose a user preference based recommendation model. Through simulation experiment, it is proved that our model had good performance and could improve the literature service quality effectively.\",\"PeriodicalId\":276201,\"journal\":{\"name\":\"2012 International Conference on Management of e-Commerce and e-Government\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Management of e-Commerce and e-Government\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMECG.2012.67\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Management of e-Commerce and e-Government","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMECG.2012.67","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

如何描述用户的文献搜索行为特征对文献推荐的效率影响更大。在分析三种关键文献搜索行为的基础上,对这些行为分配若干权重,以评估用户的偏好。然后提出了基于用户偏好的推荐模型。仿真实验证明,该模型具有良好的性能,能有效提高文献服务质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Recommendation Model of Technology Literature Based on User Preference
How to describe the features of users 'literature searching behavior has much more influences upon the efficiency of literature recommendation. Based on analyzing three key literature searching behavior, we assign several weight for those behavior so as to evaluate users' preferences. And then propose a user preference based recommendation model. Through simulation experiment, it is proved that our model had good performance and could improve the literature service quality effectively.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信