在Twitter上的社交更新流排名中应用隐藏主题

T. Nguyen, Tri-Thanh Nguyen, Quang-Thuy Ha
{"title":"在Twitter上的社交更新流排名中应用隐藏主题","authors":"T. Nguyen, Tri-Thanh Nguyen, Quang-Thuy Ha","doi":"10.1109/RIVF.2013.6719890","DOIUrl":null,"url":null,"abstract":"As the number of users using Twitter1 increases, an user may have a lot of friends whose tweet (posting) list (also called as “social update stream” [5, 8, 18]) may overwhelm his/her homepage. This can lead to the situation where important tweets (i.e. the tweets the user is interested in) are pushed down on the list, thus, it takes time to find them. Social update stream ranking is a possible solution that puts important tweets on the top of the page, so that the user can easily read it. In this paper, we propose to apply hidden topics [1, 15, 20] in the Combined Regression Ranking algorithm [2] to rank social update streams. The proposed system works like a content based recommendation system. The experimental results show a significant improvement proving that our proposal is a suitable direction.","PeriodicalId":121216,"journal":{"name":"The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Applying hidden topics in ranking social update streams on Twitter\",\"authors\":\"T. Nguyen, Tri-Thanh Nguyen, Quang-Thuy Ha\",\"doi\":\"10.1109/RIVF.2013.6719890\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As the number of users using Twitter1 increases, an user may have a lot of friends whose tweet (posting) list (also called as “social update stream” [5, 8, 18]) may overwhelm his/her homepage. This can lead to the situation where important tweets (i.e. the tweets the user is interested in) are pushed down on the list, thus, it takes time to find them. Social update stream ranking is a possible solution that puts important tweets on the top of the page, so that the user can easily read it. In this paper, we propose to apply hidden topics [1, 15, 20] in the Combined Regression Ranking algorithm [2] to rank social update streams. The proposed system works like a content based recommendation system. The experimental results show a significant improvement proving that our proposal is a suitable direction.\",\"PeriodicalId\":121216,\"journal\":{\"name\":\"The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RIVF.2013.6719890\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIVF.2013.6719890","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

随着使用Twitter1的用户数量的增加,用户可能会有很多朋友,他们的tweet(张贴)列表(也称为“社交更新流”[5,8,18])可能会淹没他/她的主页。这可能会导致重要的tweet(即用户感兴趣的tweet)被推到列表的下方,因此,需要花费时间来找到它们。社交更新流排名是一种可能的解决方案,它将重要的tweet放在页面顶部,以便用户可以轻松阅读。在本文中,我们提出在组合回归排名算法[2]中应用隐藏主题[1,15,20]对社交更新流进行排名。该系统的工作原理类似于基于内容的推荐系统。实验结果表明,本文提出的方案是一个可行的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applying hidden topics in ranking social update streams on Twitter
As the number of users using Twitter1 increases, an user may have a lot of friends whose tweet (posting) list (also called as “social update stream” [5, 8, 18]) may overwhelm his/her homepage. This can lead to the situation where important tweets (i.e. the tweets the user is interested in) are pushed down on the list, thus, it takes time to find them. Social update stream ranking is a possible solution that puts important tweets on the top of the page, so that the user can easily read it. In this paper, we propose to apply hidden topics [1, 15, 20] in the Combined Regression Ranking algorithm [2] to rank social update streams. The proposed system works like a content based recommendation system. The experimental results show a significant improvement proving that our proposal is a suitable direction.
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