加强共同作者发表记录的学术推荐

{"title":"加强共同作者发表记录的学术推荐","authors":"","doi":"10.4018/978-1-7998-0961-6.ch006","DOIUrl":null,"url":null,"abstract":"In this chapter, the authors investigated the feasibility of any improvement in paper recommendation by recommending similar papers to an input paper from the publication record of the first author. Although there are numerous approaches for recommending academic papers, they did not consider intellectually recommending papers based on the publication record of common coauthors. Consequently, they are motivated to introduce a remedy for this shortcoming by recommending scholarly papers based on similarity of textual references to visual features which considers the similarity of text fragments of one's publication record to any of their visual features (i.e., tables and figures). Based on the results of evaluation, the proposed enhancement will increase the mean precision, recall, and accordingly, the F-measure. In addition, it increases the position of the relevant papers in the returned list of documents.","PeriodicalId":332412,"journal":{"name":"Result Page Generation for Web Searching","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing Academic Recommendation Regarding Common Coauthors' Publication Records\",\"authors\":\"\",\"doi\":\"10.4018/978-1-7998-0961-6.ch006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this chapter, the authors investigated the feasibility of any improvement in paper recommendation by recommending similar papers to an input paper from the publication record of the first author. Although there are numerous approaches for recommending academic papers, they did not consider intellectually recommending papers based on the publication record of common coauthors. Consequently, they are motivated to introduce a remedy for this shortcoming by recommending scholarly papers based on similarity of textual references to visual features which considers the similarity of text fragments of one's publication record to any of their visual features (i.e., tables and figures). Based on the results of evaluation, the proposed enhancement will increase the mean precision, recall, and accordingly, the F-measure. In addition, it increases the position of the relevant papers in the returned list of documents.\",\"PeriodicalId\":332412,\"journal\":{\"name\":\"Result Page Generation for Web Searching\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Result Page Generation for Web Searching\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/978-1-7998-0961-6.ch006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Result Page Generation for Web Searching","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-7998-0961-6.ch006","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

在本章中,作者通过从第一作者的发表记录中推荐类似的论文来研究论文推荐的可行性。虽然有许多推荐学术论文的方法,但他们没有考虑根据共同作者的发表记录来理智地推荐论文。因此,他们有动机通过推荐基于文本参考与视觉特征相似性的学术论文来弥补这一缺点,这种相似性考虑了一个人的出版记录的文本片段与其任何视觉特征(即表格和数字)的相似性。根据评估结果,所提出的增强将提高平均精度、召回率,并相应地提高f -测度。此外,它还增加了相关文件在返回文件列表中的位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Enhancing Academic Recommendation Regarding Common Coauthors' Publication Records
In this chapter, the authors investigated the feasibility of any improvement in paper recommendation by recommending similar papers to an input paper from the publication record of the first author. Although there are numerous approaches for recommending academic papers, they did not consider intellectually recommending papers based on the publication record of common coauthors. Consequently, they are motivated to introduce a remedy for this shortcoming by recommending scholarly papers based on similarity of textual references to visual features which considers the similarity of text fragments of one's publication record to any of their visual features (i.e., tables and figures). Based on the results of evaluation, the proposed enhancement will increase the mean precision, recall, and accordingly, the F-measure. In addition, it increases the position of the relevant papers in the returned list of documents.
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
期刊最新文献
Navigational Searching and User Treatments Ambiguity and Clarification Vertical Result Page Generation for Academic Web Searching Content-Determined Web Page Segmentation and Navigation for Mobile Web Searching Horizontal Web Searching and Navigational Resource Identification
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1