基于社交网络公共大数据的礼品推荐系统

Yu Qi, Baihui Tang, Sanxing Cao
{"title":"基于社交网络公共大数据的礼品推荐系统","authors":"Yu Qi, Baihui Tang, Sanxing Cao","doi":"10.1109/TOCS50858.2020.9339706","DOIUrl":null,"url":null,"abstract":"Gifts play a pivotal role in people's daily life. Some people want to give others gifts, but they don't understand other's preferences. This makes giving gifts a difficult problem. Traditional gift recommendation systems can only recommend gifts when users are known to have certain needs. This does not solve the user's recommendation needs for gifts in scenarios where the user's preferences are unknown. According to this demand, this paper proposes a gifts recommendation system based on the public big data of social networks to solve the problem of users' difficulty in selecting gifts.","PeriodicalId":373862,"journal":{"name":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Gifts Recommendation System Based on the Public Big Data of Social Networks\",\"authors\":\"Yu Qi, Baihui Tang, Sanxing Cao\",\"doi\":\"10.1109/TOCS50858.2020.9339706\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Gifts play a pivotal role in people's daily life. Some people want to give others gifts, but they don't understand other's preferences. This makes giving gifts a difficult problem. Traditional gift recommendation systems can only recommend gifts when users are known to have certain needs. This does not solve the user's recommendation needs for gifts in scenarios where the user's preferences are unknown. According to this demand, this paper proposes a gifts recommendation system based on the public big data of social networks to solve the problem of users' difficulty in selecting gifts.\",\"PeriodicalId\":373862,\"journal\":{\"name\":\"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TOCS50858.2020.9339706\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TOCS50858.2020.9339706","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

礼物在人们的日常生活中起着举足轻重的作用。有些人想给别人礼物,但他们不了解别人的喜好。这使得送礼成为一个难题。传统的礼品推荐系统只能在已知用户有一定需求的情况下进行礼品推荐。这并不能解决在用户偏好未知的情况下用户对礼物的推荐需求。针对这一需求,本文提出了一种基于社交网络公共大数据的礼品推荐系统,解决用户选择礼品难的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gifts Recommendation System Based on the Public Big Data of Social Networks
Gifts play a pivotal role in people's daily life. Some people want to give others gifts, but they don't understand other's preferences. This makes giving gifts a difficult problem. Traditional gift recommendation systems can only recommend gifts when users are known to have certain needs. This does not solve the user's recommendation needs for gifts in scenarios where the user's preferences are unknown. According to this demand, this paper proposes a gifts recommendation system based on the public big data of social networks to solve the problem of users' difficulty in selecting gifts.
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:481959085
Book学术官方微信